ieee.bib

@INPROCEEDINGS{8622913,
author={T. {Asghar} and S. {Rasool} and M. {Iqbal} and Z. u. {Qayyum} and A. N. {Mian} and G. {Ubakanma}},
booktitle={2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)},
title={Feasibility of Serverless Cloud Services for Disaster Management Information Systems},
year={2018},
volume={},
number={},
pages={1054-1057},
keywords={cloud computing;emergency management;information systems;quality of service;pay-per-use policy;Amazon;DMIS;operational cost reduction;scalability;QoS;quality degradation;Lambda based serverless cloud services;disaster management information systems;Containers;Quality of service;Cloud computing;Virtualization;Scalability;Color;Degradation;FaaS;Serverless;Lambda;QoS;DMIS;Disaster},
doi={10.1109/HPCC/SmartCity/DSS.2018.00175},
ISSN={},
month={June},}
@INPROCEEDINGS{7979855,
author={G. {McGrath} and P. R. {Brenner}},
booktitle={2017 IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW)},
title={Serverless Computing: Design, Implementation, and Performance},
year={2017},
volume={},
number={},
pages={405-410},
keywords={cloud computing;concurrency (computers);Microsoft Windows (operating systems);performance evaluation;performance-oriented serverless computing;.NET;Microsoft Azure;Windows containers;function execution environments;execution performance evaluation;AWS Lambda;Azure Functions;Google Cloud Functions;IBM's deployment;Apache OpenWhisk;concurrency levels;Containers;Web services;Metadata;Resource management;Prototypes;Runtime;Google;serverless computing;serverless performance;FaaS;Function-as-a-Service;AWS Lambda;Azure Functions;Google Cloud Functions;Apache OpenWhisk;IBM OpenWhisk},
doi={10.1109/ICDCSW.2017.36},
ISSN={},
month={June},}
@INPROCEEDINGS{8513710,
author={D. {Bardsley} and L. {Ryan} and J. {Howard}},
booktitle={2018 IEEE International Conference on Smart Cloud (SmartCloud)},
title={Serverless Performance and Optimization Strategies},
year={2018},
volume={},
number={},
pages={19-26},
keywords={cloud computing;object-oriented programming;open systems;software architecture;software performance evaluation;Web services;Lambda-based architectures;serverless computing;public Cloud;IT industry;mission critical enterprise systems;serverless ecosystem;serverless architectures;AWS Lambda;optimization strategies;Computer architecture;Logic gates;Servers;Time factors;Ecosystems;Monitoring;Computational modeling;serverless;aws;lambdas;architecture;performance},
doi={10.1109/SmartCloud.2018.00012},
ISSN={},
month={Sep.},}
@ARTICLE{8126823,
author={M. R. {HoseinyFarahabady} and A. Y. {Zomaya} and Z. {Tari}},
journal={IEEE Transactions on Parallel and Distributed Systems},
title={A Model Predictive Controller for Managing QoS Enforcements and Microarchitecture-Level Interferences in a Lambda Platform},
year={2018},
volume={29},
number={7},
pages={1442-1455},
keywords={application program interfaces;cloud computing;computer centres;optimal control;optimisation;predictive control;quality of service;resource allocation;software engineering;virtualisation;model predictive controller;QoS enforcements;microarchitecture-level interferences;Lambda platform;Lambda paradigm;reliable enterprise applications;serverless solution;multiple Lambda functions;resource management solutions;operating-system level metrics;resource allocation schema;shared-resource contention;function as a service;quality of service;total QoS violation incident reduction;CPU utilization;enhanced interference-awareness;Docker Swarm;Resource management;Quality of service;Interference;Bandwidth;Measurement;Servers;Cloud computing;Serverless lambda platform;function as a service (FaaS);model predictive control;dynamic resource allocation/scheduling;performance degradation},
doi={10.1109/TPDS.2017.2779502},
ISSN={},
month={July},}
@INPROCEEDINGS{8605778,
author={J. {Kuhlenkamp} and S. {Werner}},
booktitle={2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion)},
title={Benchmarking FaaS Platforms: Call for Community Participation},
year={2018},
volume={},
number={},
pages={189-194},
keywords={cloud computing;knowledge based systems;serverless architecture;development paradigm;community participation;FaaS platforms;collaborative systematic literature review;community-driven knowledge base;FAA;Task analysis;Benchmark testing;Data mining;Search problems;Computer architecture;Bibliographies;FaaS;serverless;benchmarking;secondary study;SLR},
doi={10.1109/UCC-Companion.2018.00055},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8814583,
author={J. {Kim} and K. {Lee}},
booktitle={2019 IEEE 12th International Conference on Cloud Computing (CLOUD)},
title={FunctionBench: A Suite of Workloads for Serverless Cloud Function Service},
year={2019},
volume={},
number={},
pages={502-504},
keywords={cloud computing;cloud service providers;function applications;FunctionBench;serverless cloud function service;serverless computing;microbenchmarks;public services;data-oriented applications;function workloads;source codes;workload;benchmark;FaaS;serverless;cloud},
doi={10.1109/CLOUD.2019.00091},
ISSN={},
month={July},}
@INPROCEEDINGS{8360312,
author={W. {Lin} and C. {Krintz} and R. {Wolski} and M. {Zhang} and X. {Cai} and T. {Li} and W. {Xu}},
booktitle={2018 IEEE International Conference on Cloud Engineering (IC2E)},
title={Tracking Causal Order in AWS Lambda Applications},
year={2018},
volume={},
number={},
pages={50-60},
keywords={cloud computing;Web services;cloud applications;scalable distributed systems;serverless abstraction;increasingly complex applications;asynchronous applications;cloud service;AWS Lambda applications;serverless computing;cloud programming;wide-spread uptake;serverless offerings;Amazon Web Services Lambda;Google Functions;Azure Functions;simple functions;cloud-based event triggers;concurrency;parallelism;causal dependencies extraction;causal order tracking;GammaRay;Cloud computing;Containers;X-ray imaging;Tools;Monitoring;Concurrent computing;serverless;faas;causal dependencies;AWS Lambda;profiling},
doi={10.1109/IC2E.2018.00027},
ISSN={},
month={April},}
@INPROCEEDINGS{8605779,
author={W. {Lloyd} and M. {Vu} and B. {Zhang} and O. {David} and G. {Leavesley}},
booktitle={2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion)},
title={Improving Application Migration to Serverless Computing Platforms: Latency Mitigation with Keep-Alive Workloads},
year={2018},
volume={},
number={},
pages={195-200},
keywords={cloud computing;Java;resource allocation;scheduling;serverless computing infrastructure;Java-based environmental modeling application;concurrent workloads;serverless infrastructure;serverless platforms;application migration;serverless computing platforms;load balancing;cloud server capacity;cloud providers;infrastructure management;function-as-a-service;serverless computing environments;keep-alive workloads;infrastructure management;precipitation runoff modeling system;AWS lambda serverless platform;cloud-based scheduled event triggers;Cloud computing;FAA;Containers;Computational modeling;Java;Load management;Load modeling;Resource Management and Performance;Serverless Computing;Function-as-a-Service;Application Migration},
doi={10.1109/UCC-Companion.2018.00056},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8374513,
author={J. {Kim} and T. J. {Jun} and D. {Kang} and D. {Kim} and D. {Kim}},
booktitle={2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)},
title={GPU Enabled Serverless Computing Framework},
year={2018},
volume={},
number={},
pages={533-540},
keywords={application program interfaces;cloud computing;graphics processing units;learning (artificial intelligence);public domain software;service-oriented architecture;GPU enabled serverless computing framework;cloud computing;microservices architectures;serverless computing environment;service functional units;function development environment;open source serverless computing framework;deploy services;open source framework;high-performance microservices;NVIDIA-Docker;GPU support container;GPU programming;deep learning programs;performance degradation;Graphics processing units;Servers;Cloud computing;Containers;Computer architecture;Libraries;Standards;Cloud Computing;Serverless Computing;Serverless Architecture;FaaS;GPGPU},
doi={10.1109/PDP2018.2018.00090},
ISSN={},
month={March},}
@INPROCEEDINGS{8360324,
author={W. {Lloyd} and S. {Ramesh} and S. {Chinthalapati} and L. {Ly} and S. {Pallickara}},
booktitle={2018 IEEE International Conference on Cloud Engineering (IC2E)},
title={Serverless Computing: An Investigation of Factors Influencing Microservice Performance},
year={2018},
volume={},
number={},
pages={159-169},
keywords={cloud computing;resource allocation;virtual machines;serverless computing platforms;hosting costs;fault tolerance;dynamic elasticity;individual functions;microservices;virtual machines;operating system containers;cloud server capacity;cloud providers;service demand;influence microservice performance;infrastructure elasticity;load balancing;infrastructure retention;serverless infrastructure including;infrastructure-as-a-service;infrastructure management;serverless computing environments;FaaS;IaaS;VM;Containers;Cloud computing;Load management;Elasticity;Servers;Operating systems;Fault tolerance;Resource Management and Performance;Serverless Computing;Function-as-a-Service;Provisioning Variation},
doi={10.1109/IC2E.2018.00039},
ISSN={},
month={April},}
@INPROCEEDINGS{8790945,
author={L. {Toader} and A. {Uta} and A. {Musaafir} and A. {Iosup}},
booktitle={2019 18th International Symposium on Parallel and Distributed Computing (ISPDC)},
title={Graphless: Toward Serverless Graph Processing},
year={2019},
volume={},
number={},
pages={66-73},
keywords={benchmark testing;Big Data;cloud computing;graph theory;serverless computing;cloud-based serverless resources;graphless graph-processing system;serverless graph processing;evidence graphless;stateless functions;serverless paradigm;graph processing systems focus;complex problems;graph-processing systems Apache Giraph;Computer architecture;Metadata;Engines;Elasticity;Cloud computing;FAA;Computational modeling;serverless;graph processing;elasticity;Function as a Service},
doi={10.1109/ISPDC.2019.00012},
ISSN={},
month={June},}
@INPROCEEDINGS{8768825,
author={A. {Parres-Peredo} and I. {Piza-Davila} and F. {Cervantes}},
booktitle={2019 42nd International Conference on Telecommunications and Signal Processing (TSP)},
title={Building and Evaluating User Network Profiles for Cybersecurity Using Serverless Architecture},
year={2019},
volume={},
number={},
pages={164-167},
keywords={cloud computing;computer network security;telecommunication traffic;Web services;cybersecurity;serverless architecture;serverless computing;cloud computing;serverless implementation;network users;user network traffic;Lambda;DynamoDB;SQS;S3;unexpected network behavior identification;TopK rankings;user network profiles;Amazon Web services;Computer architecture;Cloud computing;Computer security;Real-time systems;Electric breakdown;Buildings;Architecture;cybersecurity;serverless architecture;functions as a service;aws;network security},
doi={10.1109/TSP.2019.8768825},
ISSN={},
month={July},}
@INPROCEEDINGS{8791958,
author={J. {Kim} and J. {Park} and K. {Lee}},
booktitle={2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)},
title={Network Resource Isolation in Serverless Cloud Function Service},
year={2019},
volume={},
number={},
pages={182-187},
keywords={cloud computing;computer network security;resource allocation;network resource isolation;serverless cloud function service;serverless computing;function execution;cloud computing services;subject considerable attention;network resource performance;serverless applications;network resource allocation;service providers;functional execution models;FAA;Cloud computing;Resource management;Containers;Time factors;Computational modeling;Bandwidth;serverless computing;FaaS;network},
doi={10.1109/FAS-W.2019.00051},
ISSN={},
month={June},}
@INPROCEEDINGS{8025307,
author={M. {HoseinyFarahabady} and J. {Taheri} and Z. {Tari} and A. Y. {Zomaya}},
booktitle={2017 46th International Conference on Parallel Processing (ICPP)},
title={A Dynamic Resource Controller for a Lambda Architecture},
year={2017},
volume={},
number={},
pages={332-341},
keywords={bin packing;business data processing;data handling;performance evaluation;predictive control;resource allocation;software architecture;performance variability;QoS violation prevention;resource utilization;spread approach;binpack approach;best-effort approach;performance evaluation;model predictive control;resource allocation;performance degradation;shared resources;computing resources;Lambda functions;Lambda service providers;enterprise applications;event-driven serverless paradigm;Lambda architecture;dynamic resource controller;Quality of service;Resource management;Sensitivity;Memory management;Interference;Servers;Dynamic Resource Allocation;Performance degradation;Lambda Platform Processing;Shared Resource Interference},
doi={10.1109/ICPP.2017.42},
ISSN={},
month={Aug},}
@INPROCEEDINGS{8622362,
author={S. {Werner} and J. {Kuhlenkamp} and M. {Klems} and J. {Müller} and S. {Tai}},
booktitle={2018 IEEE International Conference on Big Data (Big Data)},
title={Serverless Big Data Processing using Matrix Multiplication as Example},
year={2018},
volume={},
number={},
pages={358-365},
keywords={Big Data;cloud computing;matrix multiplication;pattern clustering;service-oriented architecture;serverless big data processing;matrix multiplication;serverless computing;popular alternative model;on-demand cloud computing;FaaS provider;cloud infrastructure;traditional cloud consumption;serverless big data applications;compute frameworks;function-as-a-service;Cloud computing;Scalability;FAA;Prototypes;Big Data applications;Task analysis;serverless;big data;cloud;matrix multiplication},
doi={10.1109/BigData.2018.8622362},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8605772,
author={P. {García López} and M. {Sánchez-Artigas} and G. {París} and D. {Barcelona Pons} and Á. {Ruiz Ollobarren} and D. {Arroyo Pinto}},
booktitle={2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion)},
title={Comparison of FaaS Orchestration Systems},
year={2018},
volume={},
number={},
pages={148-153},
keywords={cloud computing;IBM Composer;serverless orchestration systems;billing models;FaaS orchestration systems;Amazon Lambda;cloud providers;Function as a Service model;serverless functions;Amazon Step Functions;Azure Durable Functions;Programming;Software;Packaging;Computer architecture;FAA;Measurement;DSL;Cloud computing;Serverless;Function Composition;Orchestration;Amazon Step Functions;Azure Durable Functions;IBM Composer},
doi={10.1109/UCC-Companion.2018.00049},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8567674,
author={T. {Elgamal}},
booktitle={2018 IEEE/ACM Symposium on Edge Computing (SEC)},
title={Costless: Optimizing Cost of Serverless Computing through Function Fusion and Placement},
year={2018},
volume={},
number={},
pages={300-312},
keywords={cloud computing;image fusion;Internet of Things;virtual machines;serverless computing;serverless platforms;serverless applications;Internet of Things;virtual machines;splitting functions;function fusion-placement solutions;AWS Lambda;edge resources;cloud resources;image processing workflows;nontrivial memory configuration;Computational modeling;Fuses;Pricing;Cloud computing;Internet of Things;Memory management;Face;Serverless;Edge computing;AWS Lambda;Cloud Computing;Cost Optimization},
doi={10.1109/SEC.2018.00029},
ISSN={},
month={Oct},}
@INPROCEEDINGS{8457830,
author={H. {Lee} and K. {Satyam} and G. {Fox}},
booktitle={2018 IEEE 11th International Conference on Cloud Computing (CLOUD)},
title={Evaluation of Production Serverless Computing Environments},
year={2018},
volume={},
number={},
pages={442-450},
keywords={cloud computing;virtual machines;distributed data processing;stateless functions;parallel requests;dynamic scaling manager;concurrent invocation;Lambda functions;event-driven compute;infrastructure management;production serverless computing environments;Google;Throughput;Cloud computing;Databases;Containers;Runtime;Data processing;FaaS, Serverless, Event-driven Computing, Amazon Lambda, Google Functions, Microsoft Azure Functions, IBM OpenWhisk},
doi={10.1109/CLOUD.2018.00062},
ISSN={},
month={July},}
@INPROCEEDINGS{8457882,
author={A. {Saha} and S. {Jindal}},
booktitle={2018 IEEE 11th International Conference on Cloud Computing (CLOUD)},
title={EMARS: Efficient Management and Allocation of Resources in Serverless},
year={2018},
volume={},
number={},
pages={827-830},
keywords={cloud computing;resource allocation;storage management;serverless cloud;open-source serverless platform;OpenLambda;serverless functions;memory limit settings;predictive efficient memory management;resource management system;EMARS system;Containers;Memory management;Resource management;Cloud computing;Servers;Predictive models;Time factors;Serverless;cloud computing;memory limit;response time},
doi={10.1109/CLOUD.2018.00113},
ISSN={},
month={July},}
@INPROCEEDINGS{8605775,
author={P. {Moczurad} and M. {Malawski}},
booktitle={2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion)},
title={Visual-Textual Framework for Serverless Computation: A Luna Language Approach},
year={2018},
volume={},
number={},
pages={169-174},
keywords={application program interfaces;cloud computing;data visualisation;functional programming;Java;visual programming;Luna language approach;serverless technologies;cloud computing industry;serverless computing;visual-textual programming language;functional programming language;textual programming languages;Luna standard library;serverless function;visual-textual framework;Luna serverless framework;AWS Lambda;JavaScript;Visualization;Cloud computing;Computer languages;Computational modeling;Market research;Programming;Semantics;serverless;functional programming;visual programming},
doi={10.1109/UCC-Companion.2018.00052},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8360337,
author={V. {Ishakian} and V. {Muthusamy} and A. {Slominski}},
booktitle={2018 IEEE International Conference on Cloud Engineering (IC2E)},
title={Serving Deep Learning Models in a Serverless Platform},
year={2018},
volume={},
number={},
pages={257-262},
keywords={cloud computing;learning (artificial intelligence);neural nets;serverless platform;event based cloud applications;cloud providers;enterprise companies;machine learning;value added services;serverless computing environment;neural network models;AWS Lambda environment;MxNet deep learning framework;artificial intelligence;latency distribution;SLA;Machine learning;Cloud computing;Neural networks;Containers;Computational modeling;Delays;Training;AWS Lambda;Cloud Computing;Serverless Computing;Deep Learningm},
doi={10.1109/IC2E.2018.00052},
ISSN={},
month={April},}
@INPROCEEDINGS{8605776,
author={A. {Das} and S. {Patterson} and M. {Wittie}},
booktitle={2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion)},
title={EdgeBench: Benchmarking Edge Computing Platforms},
year={2018},
volume={},
number={},
pages={175-180},
keywords={benchmark testing;cloud computing;Internet of Things;performance metrics;edge frameworks;cloud-only implementations;Amazon AWS Greengrass;edge platforms;edge applications;cloud providers;Microsoft Azure IoT Edge;cloud ecosystems;edge computing platform benchmarking;edge Lambda functions;EdgeBench;Cloud computing;Image edge detection;Benchmark testing;Edge computing;Performance evaluation;Pipelines;Internet of Things;Serverless Computing;Cloud Functions},
doi={10.1109/UCC-Companion.2018.00053},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8457833,
author={J. {Kijak} and P. {Martyna} and M. {Pawlik} and B. {Balis} and M. {Malawski}},
booktitle={2018 IEEE 11th International Conference on Cloud Computing (CLOUD)},
title={Challenges for Scheduling Scientific Workflows on Cloud Functions},
year={2018},
volume={},
number={},
pages={460-467},
keywords={cloud computing;graph theory;scheduling;scientific information systems;workflow management software;Function-as-a-Service;cloud providers;Serverless Deadline-Budget Workflow Scheduling;small-scale Montage workflow;scientific workflow scheduling;serverless computing;cloud functions;dependency graph;AWS Lambda infrastructure;Task analysis;Cloud computing;FAA;Processor scheduling;Computational modeling;Adaptation models;Engines;Faas;serverless computing;cloud functions;scientific workflow;task scheduling},
doi={10.1109/CLOUD.2018.00065},
ISSN={},
month={July},}
@INPROCEEDINGS{8457831,
author={Y. {Kim} and J. {Lin}},
booktitle={2018 IEEE 11th International Conference on Cloud Computing (CLOUD)},
title={Serverless Data Analytics with Flint},
year={2018},
volume={},
number={},
pages={451-455},
keywords={Big Data;cloud computing;data analysis;serverless data analytics;Flint;serverless architecture;loosely-coupled function invocations;analytical processing;big data;prototype Spark execution engine;pure pay-as-you-go cost model;actual Spark cluster;serverless analytics;AWS Lambda;PySpark;Sparks;Task analysis;Cloud computing;Engines;Standards;Metadata;Data analysis;serverless computing, cloud computing, data analytics, data science},
doi={10.1109/CLOUD.2018.00063},
ISSN={},
month={July},}
@INPROCEEDINGS{8590993,
author={C. {Cicconetti} and M. {Conti} and A. {Passarella}},
booktitle={2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)},
title={An Architectural Framework for Serverless Edge Computing: Design and Emulation Tools},
year={2018},
volume={},
number={},
pages={48-55},
keywords={distributed algorithms;mobile computing;software defined networking;telecommunication network routing;software defined networking-enabled edge computing domain;distributed algorithms;serverless model;specific edge devices;mobile nodes;lambda functions;stateless computations;dynamic allocation;processing capabilities;networking devices;SDN;serverless edge computing;architectural framework;Edge computing;Computer architecture;Performance evaluation;Emulation;Servers;Optimization;Face;edge computing;software defined networking;serverless computing;computation delegation},
doi={10.1109/CloudCom2018.2018.00024},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8814497,
author={A. {Aytekin} and M. {Johansson}},
booktitle={2019 IEEE 12th International Conference on Cloud Computing (CLOUD)},
title={Exploiting Serverless Runtimes for Large-Scale Optimization},
year={2019},
volume={},
number={},
pages={499-501},
keywords={optimisation;parallel algorithms;regression analysis;serverless runtimes;cost-effective environments;sporadic computations;generic scale optimization problems;large-scale optimization problems;parallel optimization algorithm;regularized logistic regression problem;compute-intensive work;serverless;optimization;alternating direction method of multipliers;distributed optimization},
doi={10.1109/CLOUD.2019.00090},
ISSN={},
month={July},}
@INPROCEEDINGS{8457817,
author={L. {Feng} and P. {Kudva} and D. {Da Silva} and J. {Hu}},
booktitle={2018 IEEE 11th International Conference on Cloud Computing (CLOUD)},
title={Exploring Serverless Computing for Neural Network Training},
year={2018},
volume={},
number={},
pages={334-341},
keywords={cloud computing;learning (artificial intelligence);neural nets;serverless computing;neural network training;serverless functions;service runtimes;event-driven cloud applications;serverless runtimes;lightweight computation;machine learning prediction;cloud runtimes;lightweight memory;machine learning inference;deep learning models;hyperparameter optimization;data parallelism;Servers;Training;Merging;Runtime;Neural networks;Data transfer;Machine learning;serverless computing;cloud computing;deep learning;cloud scaling;cloud cost and performance},
doi={10.1109/CLOUD.2018.00049},
ISSN={},
month={July},}
@INPROCEEDINGS{8591002,
author={S. K. {Mohanty} and G. {Premsankar} and M. {di Francesco}},
booktitle={2018 IEEE International Conference on Cloud Computing Technology and Science (CloudCom)},
title={An Evaluation of Open Source Serverless Computing Frameworks},
year={2018},
volume={},
number={},
pages={115-120},
keywords={cloud computing;public domain software;software architecture;virtualisation;open source serverless computing frameworks;public cloud service providers;software architecture;resource management;virtualization;Fission;Kubeless;OpenFaaS;Time factors;Cloud computing;Containers;Concurrent computing;FAA;Python;Measurement;serverless computing;function-as-a-service;Kubeless;Fission;OpenFaas;performance evaluation},
doi={10.1109/CloudCom2018.2018.00033},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8605777,
author={J. {Manner} and M. {Endreß} and T. {Heckel} and G. {Wirtz}},
booktitle={2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion)},
title={Cold Start Influencing Factors in Function as a Service},
year={2018},
volume={},
number={},
pages={181-188},
keywords={cloud computing;virtualisation;container starts;cold start problem;Microsoft Azure Functions;virtualization problems;cloud function executions;Function as a Service;AWS Lambda;FAA;Containers;Benchmark testing;Cloud computing;Java;Pipelines;Serverless Computing, Function as a Service, FaaS, Cloud Functions, Cold Start, Benchmarking},
doi={10.1109/UCC-Companion.2018.00054},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8116416,
author={H. {Puripunpinyo} and M. H. {Samadzadeh}},
booktitle={2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)},
title={Effect of optimizing Java deployment artifacts on AWS Lambda},
year={2017},
volume={},
number={},
pages={438-443},
keywords={Java;operating systems (computers);virtual machines;Web services;optimizing Java deployment artifacts;Amazon Web Services;Java Virtual Machine;JVM;complicate platform;deployment artifact;single jar file;AWS Lambda's allowable limit;self-contained artifacts;resource files;Java;Libraries;Computer architecture;Tools;Servers;XML;Big Data;Serverless Architecture;Deployment;AWS Lambda;JVM;Java;Optimization;Performance},
doi={10.1109/INFCOMW.2017.8116416},
ISSN={},
month={May},}
@INPROCEEDINGS{8814535,
author={J. R. {Gunasekaran} and P. {Thinakaran} and M. T. {Kandemir} and B. {Urgaonkar} and G. {Kesidis} and C. {Das}},
booktitle={2019 IEEE 12th International Conference on Cloud Computing (CLOUD)},
title={Spock: Exploiting Serverless Functions for SLO and Cost Aware Resource Procurement in Public Cloud},
year={2019},
volume={},
number={},
pages={199-208},
keywords={cloud computing;public domain software;resource allocation;virtual machines;Web services;Spock;serverless functions;cost aware resource procurement;public cloud infrastructures;cost-effectiveness;elasticity;dynamically-evolving user demand;dynamically scale resources;application demand;service level objective violations;scalable control system;elastic control system;resource procurement schemes;cost savings;elastic Web services;FaaS;serverless;autoscaling;cost-aware;SLO;lambda},
doi={10.1109/CLOUD.2019.00043},
ISSN={},
month={July},}
@INPROCEEDINGS{8821843,
author={L. {Baresi} and D. {Filgueira Mendonça}},
booktitle={2019 IEEE International Conference on Fog Computing (ICFC)},
title={Towards a Serverless Platform for Edge Computing},
year={2019},
volume={},
number={},
pages={1-10},
keywords={cloud computing;computer centres;fog;Internet of Things;mobile computing;peer-to-peer computing;resource allocation;application requirements;Serverless Edge Platform;data prosumers;cloud data centers;centralized data centers;mobile computing;data-intensive applications;heterogeneous fog nodes;prototype platform;serverless architecture;hosted applications;densely distributed fog nodes;mobile networks;emerging wireless communication technologies;FAA;Containers;Computer architecture;Cloud computing;Edge computing;Computational modeling;Data centers;fog-computing;edge-computing;serverless-computing;latency-sensitive;data-intensive},
doi={10.1109/ICFC.2019.00008},
ISSN={},
month={June},}
@INPROCEEDINGS{8582355,
author={X. {Geng} and O. {Ma} and Y. {Pei} and Z. {Xu} and W. {Zeng} and J. {Zou}},
booktitle={2018 2nd IEEE Conference on Energy Internet and Energy System Integration (EI2)},
title={Research on Early Warning System of Power Network Overloading Under Serverless Architecture},
year={2018},
volume={},
number={},
pages={1-6},
keywords={alarm systems;electricity supply industry;power system measurement;power system stability;smart power grids;economic feasibility;grid load monitoring;power industry development;smart grid;power grid;massive computing resources;power network overloading;serverless mode;grid overload;early warning system;serverless architecture;Cloud computing;Smart grids;FAA;Computer architecture;Monitoring;Alarm systems;serverless architecture;overload warning;smart grid;cloud computing},
doi={10.1109/EI2.2018.8582355},
ISSN={},
month={Oct},}
@INPROCEEDINGS{8622861,
author={W. {Ling} and C. {Tian} and L. {Ma} and Z. {Hu}},
booktitle={2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)},
title={Lite-Service: A Framework to Build and Schedule Telecom Applications in Device, Edge and Cloud},
year={2018},
volume={},
number={},
pages={708-717},
keywords={cloud computing;service-oriented architecture;telecommunication computing;software application;fine-grained units;internal management;telecom industry;telecom logics;function-level runtime;complex telecom function scheduling;thread-level intra-service runtime;service management schemes;Function-as-a-Service;lite-service framework;telecom applications;microservice architecture;self-adaptive scheduler;business logics;loosely-coupled services;FaaS;Telecommunications;Cloud computing;FAA;Runtime;Software;Programming;Computational modeling;Serverless, FaaS, Stateless, Autonomous},
doi={10.1109/HPCC/SmartCity/DSS.2018.00123},
ISSN={},
month={June},}
@INPROCEEDINGS{8588841,
author={D. {Pinto} and J. P. {Dias} and H. {Sereno Ferreira}},
booktitle={2018 IEEE 16th International Conference on Embedded and Ubiquitous Computing (EUC)},
title={Dynamic Allocation of Serverless Functions in IoT Environments},
year={2018},
volume={},
number={},
pages={1-8},
keywords={cloud computing;computer networks;Internet of Things;serverless function;device requests;fog layer;local network;IoT devices;IoT environments;IoT area;serverless architectural design;local processing power;cloud servers;Cloud computing;Servers;Edge computing;Runtime environment;Internet of Things;Market research;Estimation;Fog Computing;Internet of Things;Multi Armed Bandit;Ubiquitous Computing;Serverless},
doi={10.1109/EUC.2018.00008},
ISSN={},
month={Oct},}
@INPROCEEDINGS{8814513,
author={A. {Pérez} and S. {Risco} and D. M. {Naranjo} and M. {Caballer} and G. {Moltó}},
booktitle={2019 IEEE 12th International Conference on Cloud Computing (CLOUD)},
title={On-Premises Serverless Computing for Event-Driven Data Processing Applications},
year={2019},
volume={},
number={},
pages={414-421},
keywords={application program interfaces;cloud computing;graphical user interfaces;parallel processing;pattern clustering;public domain software;storage management;FaaS framework;data storage back-end;computing platform;elastic Kubernetes cluster;data-driven workflow;event-driven data processing applications;open-source serverless computing frameworks;data-driven scientific applications;scalable computation;open-source framework;on-premises serverless computing;functions-as-a-service paradigm;multiclouds;REST API;graphical user interface;highly-parallel event-driven file-processing serverless applications;Docker containers;Cloud Computing;Scientific Computing;Distributed Infrastructures;Containers;Docker},
doi={10.1109/CLOUD.2019.00073},
ISSN={},
month={July},}
@INPROCEEDINGS{8752939,
author={G. {Aumala} and E. {Boza} and L. {Ortiz-Avilés} and G. {Totoy} and C. {Abad}},
booktitle={2019 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)},
title={Beyond Load Balancing: Package-Aware Scheduling for Serverless Platforms},
year={2019},
volume={},
number={},
pages={282-291},
keywords={cache storage;cloud computing;optimisation;resource allocation;scheduling;package-aware scheduling;serverless platforms;cloud functions;Function-as-a-Service;worker nodes;FaaS schedulers;vanilla load balancers;package caching;package affinity;re-use execution environments;function executions;scheduling algorithm;consistent hashing;load balancing algorithm;PASch;openlambda framework;optimization;serverless computing;cloud computing;function as a service;scheduling;load balancing;data locality;performance;OpenLambda},
doi={10.1109/CCGRID.2019.00042},
ISSN={},
month={May},}
@INPROCEEDINGS{8514884,
author={Y. K. {Kim} and M. R. {HoseinyFarahabady} and Y. C. {Lee} and A. Y. {Zomaya} and R. {Jurdak}},
booktitle={2018 IEEE International Conference on Cluster Computing (CLUSTER)},
title={Dynamic Control of CPU Usage in a Lambda Platform},
year={2018},
volume={},
number={},
pages={234-244},
keywords={closed loop systems;microprocessor chips;quality of service;resource allocation;software engineering;virtualisation;simple resource allocation algorithms;QoS enforcement levels;highest priority QoS class close;end-to-end response time;outstanding Lambda functions;closed-loop CPU cap controller;CPU cap management;Lambda application;round-robin policy;multiple Lambda functions;scalable enterprise software;event-driven server-less computation;Lambda platform;CPU usage;dynamic control;Quality of service;Instruction sets;Delays;Time factors;Surges;Resource management;Server-less computing, FaaS (Function as a Service), QoS-aware resource manager, Dynamic CPU usage control},
doi={10.1109/CLUSTER.2018.00041},
ISSN={},
month={Sep.},}
@INPROCEEDINGS{8834566,
author={M. {Marefat} and A. {Juneja}},
booktitle={2019 IEEE EMBS International Conference on Biomedical Health Informatics (BHI)},
title={Serverless Data Parallelization for Training and Retraining of Deep Learning Architecture in Patient-Specific Arrhythmia Detection},
year={2019},
volume={},
number={},
pages={1-4},
keywords={Training;Computer architecture;Detectors;Testing;Feature extraction;Distributed databases;Servers;Stacked Denoising Autoencoders;Retraining;Arrhythmia Classification;Remote Continuous Health Devices;Patient Specific;Serverless;Deep Learning},
doi={10.1109/BHI.2019.8834566},
ISSN={},
month={May},}
@ARTICLE{8625892,
author={J. L. {Vázquez-Poletti} and I. M. {Llorente}},
journal={Computing in Science Engineering},
title={Serverless Computing: From Planet Mars to the Cloud},
year={2018},
volume={20},
number={6},
pages={73-79},
keywords={astronomy computing;data analysis;Mars;space vehicles;planet Mars;serverless computing;scientific data analysis;serverless architecture;ESA Mars Express orbiter;cloud;Cloud computing;Containers;Mars;Servers;Computational modeling;Artificial intelligence;Programming},
doi={10.1109/MCSE.2018.2875315},
ISSN={},
month={Nov},}
@ARTICLE{7577804,
author={P. {Li} and S. {Qu} and S. {Yang} and Z. {Nie}},
journal={IEEE Antennas and Wireless Propagation Letters},
title={Focused Array Antenna Based on Subarrays},
year={2017},
volume={16},
number={},
pages={888-891},
keywords={antenna arrays;antenna radiation patterns;power dividers;focused array antenna;FAA;subarrays;radiation power;Fresnel zone;multilevel power divider;insertion loss;mutual coupling;arranged array elements;FAA;Feeds;Phased arrays;Power dividers;Gratings;Antenna radiation patterns;Feed networks;focused array antennas (FAAs);Fresnel zone;subarrays},
doi={10.1109/LAWP.2016.2613887},
ISSN={},
month={},}
@INPROCEEDINGS{8790088,
author={A. {Bhattacharjee} and A. D. {Chhokra} and Z. {Kang} and H. {Sun} and A. {Gokhale} and G. {Karsai}},
booktitle={2019 IEEE International Conference on Cloud Engineering (IC2E)},
title={BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services},
year={2019},
volume={},
number={},
pages={23-33},
keywords={cloud computing;data analysis;learning (artificial intelligence);minimisation;resource allocation;transportation;forecasting workloads;optimization problem;urban transportation service;BARISTA;scalable serverless serving system;deep learning prediction services;pre-trained deep learning models;compute-intensive predictive analytics services;serverless computing paradigm;dynamic workloads;management costs;resource management decisions;resource configurations;deployment costs;distributed scalable deep-learning prediction serving system;bounded prediction latency;intelligent agent;vertical scaling;horizontal scaling;representative real-world workloads;Predictive models;Load modeling;Containers;Computational modeling;Deep learning;Forecasting;Analytical models;Resource Management, Machine Learning Models, Predictive Analytics, Serverless Computing, Containers},
doi={10.1109/IC2E.2019.00-10},
ISSN={},
month={June},}
@INPROCEEDINGS{7820297,
author={G. {McGrath} and J. {Short} and S. {Ennis} and B. {Judson} and P. {Brenner}},
booktitle={2016 IEEE 9th International Conference on Cloud Computing (CLOUD)},
title={Cloud Event Programming Paradigms: Applications and Analysis},
year={2016},
volume={},
number={},
pages={400-406},
keywords={cloud computing;Web services;cloud event programming paradigm;Lambda Amazon Web service;OpenWhisk IBM Bluemix;Cloud Functions Google cloud platform;Microsoft Azure Functions;software development;cloud event services;Lambdefy platform;Web application;AWS Lambda;performant media management service;Trek10;AWS cloud technologies;Node.js;serverless framework;Cloud computing;Logic gates;Containers;Google;Hardware;Programming;cloud events;AWS;Lambda;Serverless;micro-services;containers;Google Cloud Platform;Cloud Functions;Microsoft Azure;IBM Bluemix;OpenWhisk},
doi={10.1109/CLOUD.2016.0060},
ISSN={},
month={June},}
@INPROCEEDINGS{7486390,
author={R. S. {Stansbury} and M. {Towhidnejead} and N. {Demidovich} and C. {Greenlow} and J. {Dinofrio} and J. R. {Olds}},
booktitle={2016 Integrated Communications Navigation and Surveillance (ICNS)},
title={Progress and future development toward a UAT ADS-B transmitter for space operations},
year={2016},
volume={},
number={},
pages={9A1-1-9A1-14},
keywords={aerospace testing;entry, descent and landing (spacecraft);radio transceivers;space vehicles;space operation;UAT ADS-B transmitter;spacecraft national airspace system;orbital spacecraft;low-cost tracking system;automatic dependent surveillance-broadcast technology;ADS-B technology;ground-based transceiver;FAA system;re-entry vehicle;planned flight test;frequency 978 MHz;Payloads;Space vehicles;Global Positioning System;FAA;Prototypes;NASA},
doi={10.1109/ICNSURV.2016.7486390},
ISSN={},
month={April},}
@INPROCEEDINGS{8815607,
author={I. {Gorton} and S. {Rajagopal} and Y. {Liu}},
booktitle={2019 IEEE/ACM 2nd International Workshop on Establishing the Community-Wide Infrastructure for Architecture-Based Software Engineering (ECASE)},
title={Towards a Cloud Performance Research Repository},
year={2019},
volume={},
number={},
pages={22-25},
keywords={cloud computing;resource allocation;software engineering;software performance evaluation;cloud performance research repository;cloud systems performance modeling;software engineering;cloud-deployed applications;cloud deployment;cloud-based infrastructure components;cloud applications;cloud services selections;performance analysis;performance prediction;resource utilization;performance, scalability, benchmarks, community research repository},
doi={10.1109/ECASE.2019.00012},
ISSN={},
month={May},}
@INPROCEEDINGS{8846970,
author={S. G. {Kulkarni} and G. {Liu} and K. K. {Ramakrishnan} and T. {Wood}},
booktitle={2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)},
title={Living on the Edge: Serverless Computing and the Cost of Failure Resiliency},
year={2019},
volume={},
number={},
pages={1-6},
keywords={cloud computing;computer centres;fault tolerant computing;edge cloud services;resource costs;serverless computing platforms;container-based services;edge cloud data centers;storage resources;serverless platforms;edge cloud platforms;reliability guarantees;Reliability;Storms;Cloud computing;Semantics;Data centers;Fasteners;Containers},
doi={10.1109/LANMAN.2019.8846970},
ISSN={},
month={July},}
@INPROCEEDINGS{8457807,
author={W. {Lin} and C. {Krintz} and R. {Wolski}},
booktitle={2018 IEEE 11th International Conference on Cloud Computing (CLOUD)},
title={Tracing Function Dependencies across Clouds},
year={2018},
volume={},
number={},
pages={253-260},
keywords={causality;cloud computing;program debugging;function dependencies;clouds;crosscloud tracing tool;causal relationships;serverless applications;Lowgo records dependencies;cloud services;multicloud applications;microbenchmarks;causal dependencies;cloud-specific approach;Cloud computing;Tools;Pipelines;Servers;Google;Debugging;Computational modeling;cloud computing;serverless computing;function as a service;faas;AWS Lambda;Azure Functions},
doi={10.1109/CLOUD.2018.00039},
ISSN={},
month={July},}
@INPROCEEDINGS{8103476,
author={K. S. {Chang} and S. J. {Fink}},
booktitle={2017 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)},
title={Visualizing serverless cloud application logs for program understanding},
year={2017},
volume={},
number={},
pages={261-265},
keywords={cloud computing;data flow analysis;data visualisation;program debugging;resource allocation;system monitoring;user interfaces;program understanding;runtime data;timeline visualization;user interface;serverless cloud application;cloud service providers;resource usage;billing information;debugging;cloud platform;program execution;dashboard monitoring tools;cloud execution logs;JSON objects;Tools;Cloud computing;Data visualization;Unified modeling language;Bars;Computational modeling;Visualization;serverless computing;function as a service;program understanding;log visualization;cloud computing},
doi={10.1109/VLHCC.2017.8103476},
ISSN={},
month={Oct},}
@INPROCEEDINGS{8737391,
author={H. {Wang} and D. {Niu} and B. {Li}},
booktitle={IEEE INFOCOM 2019 - IEEE Conference on Computer Communications},
title={Distributed Machine Learning with a Serverless Architecture},
year={2019},
volume={},
number={},
pages={1288-1296},
keywords={distributed processing;learning (artificial intelligence);scheduling;virtual machines;distributed machine learning systems;dedicated cluster;physical machines;virtual machines;nontrivial cluster management;inflexible resource provisioning model;SIREN;asynchronous distributed machine;stateless functions;virtual machine infrastructures;Deep Reinforcement Learning;cluster-based systems;serverless architecture;AWS Lambda;Training;Servers;Computer architecture;Machine learning;Computational modeling;Cloud computing;Data models},
doi={10.1109/INFOCOM.2019.8737391},
ISSN={},
month={April},}
@INPROCEEDINGS{8622139,
author={V. {Gupta} and S. {Wang} and T. {Courtade} and K. {Ramchandran}},
booktitle={2018 IEEE International Conference on Big Data (Big Data)},
title={OverSketch: Approximate Matrix Multiplication for the Cloud},
year={2018},
volume={},
number={},
pages={298-304},
keywords={approximation theory;cloud computing;computational complexity;linear programming;mathematics computing;matrix multiplication;matrix sketching;high-performance computing;cost-efficient multiplication;straggling nodes;low-cost serverless architectures;approximate matrix multiplication;approximate algorithm;distributed matrix multiplication;serverless computing;OverSketch;Cloud computing;Bandwidth;Distributed algorithms;Memory management;Partitioning algorithms;serverless computing;straggler mitigation;sketched matrix multiplication},
doi={10.1109/BigData.2018.8622139},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8560183,
author={Y. {Cheng} and Z. {Zhou}},
booktitle={2018 IEEE SmartWorld, Ubiquitous Intelligence Computing, Advanced Trusted Computing, Scalable Computing Communications, Cloud Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)},
title={Autonomous Resource Scheduling for Real-Time and Stream Processing},
year={2018},
volume={},
number={},
pages={1181-1184},
keywords={cloud computing;parallel processing;resource allocation;scheduling;autonomous resource scheduling;stream processing;provisioning resources;real-time response;unpredictable streaming data;fluctuating streaming data;facto platform;FaaS;HPC cloud platform;autonomous scheduling;steam processing;cloud computing;FaaS},
doi={10.1109/SmartWorld.2018.00205},
ISSN={},
month={Oct},}
@INPROCEEDINGS{8792007,
author={X. {Andrade} and J. {Cedeno} and E. {Boza} and H. {Aragon} and C. {Abad} and J. {Murillo}},
booktitle={2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)},
title={Optimizing Cloud Caches For Free: A Case for Autonomic Systems with a Serverless Computing Approach},
year={2019},
volume={},
number={},
pages={140-145},
keywords={cache storage;cloud computing;costing;optimisation;query processing;resource allocation;storage management;autonomic systems;serverless computing approach;self-tuning cloud caches;request-serving control path;severless computing platforms;complex optimization problems;self-tuning loops;multiinstance Redis scenario;cost analysis;optimized memory management;SPREDS;self-partitioning redis;Cloud computing;Optimization;Partitioning algorithms;Heuristic algorithms;Memory management;Throughput;cloud cache;self partitoning;self tuning;memory partitioning},
doi={10.1109/FAS-W.2019.00044},
ISSN={},
month={June},}
@ARTICLE{6799224,
author={P. {Park} and C. {Tomlin}},
journal={IEEE Transactions on Parallel and Distributed Systems},
title={Performance Evaluation and Optimization of Communication Infrastructure for the Next Generation Air Transportation System},
year={2015},
volume={26},
number={4},
pages={1106-1116},
keywords={air traffic control;airborne radar;performance evaluation;surveillance;transportation;wireless channels;performance evaluation;communication infrastructure optimization;next generation air transportation system;automatic dependent surveillance-broadcast;surveillance technologies;radar systems;ADS-B systems;NextGen;safety;wireless channel;adaptive ADS-B protocol;air traffic control;radar system;frequency 1000 MHz;Aircraft;Atmospheric modeling;Surveillance;Interference;Airborne radar;Load modeling;Cyber-physical systems;air traffic surveillance network;performance evaluation;distributed adaptation},
doi={10.1109/TPDS.2014.2317720},
ISSN={},
month={April},}
@INPROCEEDINGS{8644599,
author={Z. {Li} and Z. {Xiao} and Q. {Xu} and E. {Sotthiwat} and R. S. {Mong Goh} and X. {Liang}},
booktitle={2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS)},
title={Blockchain and IoT Data Analytics for Fine-Grained Transportation Insurance},
year={2018},
volume={},
number={},
pages={1022-1027},
keywords={cryptocurrencies;data analysis;distributed databases;insurance data processing;Internet of Things;mobile computing;transportation;IoT data analytics;fine-grained transportation insurance;customer experience;streaming IoT data;private blockchain;vehicle usage;incentive mechanism;trusted multiparty collaborations;cloud;Internet of Things;insurance premium assessment;driver behavior;mobile sensors;safer driving style;Hyperledger;public blockchain;inbuilt cryptocurrency;Blockchain;Insurance;Data analysis;Prototypes;Transportation;Peer-to-peer computing;Cloud computing;Blockchain;IoT;Data Analytics;Transportation Insurance},
doi={10.1109/PADSW.2018.8644599},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8767419,
author={C. {Cicconetti} and M. {Conti} and A. {Passarella}},
booktitle={2019 IEEE International Conference on Pervasive Computing and Communications (PerCom},
title={Low-latency Distributed Computation Offloading for Pervasive Environments},
year={2019},
volume={},
number={},
pages={1-10},
keywords={augmented reality;cloud computing;mobile computing;low-latency execution;short-lived stateless tasks;user terminal;edge devices;mobile pervasive environments;large-scale emulated network environment;delay performance;low-latency distributed computation offloading;mobile augmented reality;computation demands;edge computing;end users;serverless computing;cloud technologies;highly scalable event-driven execution;delay constraints;pervasive applications;Edge computing;Computers;Task analysis;Servers;Computer architecture;Dispatching;Data centers;online job dispatching;serverless computing;computation offloading;edge computing},
doi={10.1109/PERCOM.2019.8767419},
ISSN={},
month={March},}
@INPROCEEDINGS{8754080,
author={C. {Meurisch} and B. {Bayrak} and M. {Mühlhäuser}},
booktitle={2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)},
title={AssistantGraph: An Approach for Reusable and Composable Data-Driven Assistant Components},
year={2019},
volume={1},
number={},
pages={513-522},
keywords={backward chaining;configuration management;directed graphs;learning (artificial intelligence);recursive filters;software architecture;software reusability;ubiquitous computing;AssistantGraph;ubiquitous technologies;digital assistants;runtime support;directed acyclic graph;data access;reusability;shared component instance;component sharing;open assistant ecosystem;machine learning;data-driven assistant components;open assistant infrastructure;recursive filtering;control flow mechanisms;data flow mechanisms;backward chains;Runtime;Redundancy;Pipelines;Data analysis;Google;Software;Directed acyclic graph;ubiquitous personal assistant;data-driven analytics;versioning;serverless computing;operation graph;FaaS},
doi={10.1109/COMPSAC.2019.00079},
ISSN={},
month={Jul},}
@INPROCEEDINGS{8814512,
author={I. {Pelle} and J. {Czentye} and J. {Dóka} and B. {Sonkoly}},
booktitle={2019 IEEE 12th International Conference on Cloud Computing (CLOUD)},
title={Towards Latency Sensitive Cloud Native Applications: A Performance Study on AWS},
year={2019},
volume={},
number={},
pages={272-280},
keywords={cloud computing;Web services;latency sensitive cloud native applications;cloud native programming;cloud-grade service deployments;latency sensitive applications;comprehensive performance analysis;versatile cloud platforms;Amazon Web Services;delay characteristics;AWS components;drone control application;cloud technologies;AWS;Cloud computing;Latency sensitive applications;Performance measurement;Function as a Service},
doi={10.1109/CLOUD.2019.00054},
ISSN={},
month={July},}
@ARTICLE{8417957,
author={F. {Lin} and S. {Chen} and C. {Hsu}},
journal={IEEE Transactions on Fuzzy Systems},
title={Intelligent Backstepping Control Using Recurrent Feature Selection Fuzzy Neural Network for Synchronous Reluctance Motor Position Servo Drive System},
year={2019},
volume={27},
number={3},
pages={413-427},
keywords={adaptive control;asymptotic stability;control system synthesis;digital signal processing chips;fuzzy control;fuzzy neural nets;intelligent control;learning (artificial intelligence);Lyapunov methods;machine control;neurocontrollers;nonlinear control systems;position control;reluctance motor drives;robust control;servomotors;time-varying systems;torque;synchronous reluctance motor position servo drive system;low-cost motor;nonlinear time-varying control characteristics;high torque ripple confine;high-performance applications;intelligent backstepping control;recurrent feature selection fuzzy neural network;high-performance SynRM position;vector control SynRM position servo drive;position reference;control system;intelligent BSC system;Feature extraction;Servomotors;Fuzzy neural networks;Stator windings;Torque;Fuzzy control;Backstepping control (BSC);recurrent feature selection fuzzy neural network (RFSFNN);synchronous reluctance motor (SynRM);Taylor series expansion},
doi={10.1109/TFUZZ.2018.2858749},
ISSN={},
month={March},}
@INPROCEEDINGS{8515004,
author={V. {Koumaras} and A. {Foteas} and A. {Foteas} and M. {Kapari} and C. {Sakkas} and H. {Koumaras}},
booktitle={2018 IEEE 23rd International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD)},
title={5G Performance Testing of Mobile Chatbot Applications},
year={2018},
volume={},
number={},
pages={1-6},
keywords={5G mobile communication;electronic messaging;mobile computing;mobile radio;quality of service;social networking (online);mobile Chatbot applications;5G mobile network emulation;congested network conditions;chatbot QoS;diversified chatbot services;automated contextual communication;Testing;Quality of service;5G mobile communication;Keyboards;Servers;Quality of experience;Mobile handsets;Chatbot;QoS;QoE;5G;Benchmarking},
doi={10.1109/CAMAD.2018.8515004},
ISSN={},
month={Sep.},}
@INPROCEEDINGS{8396376,
author={C. {Mariano} and Z. {Silva} and G. M. {de Souza} and M. L. {de Oliveira e Souza}},
booktitle={2018 IEEE Aerospace Conference},
title={Proposals for a space product assurance process improvement based on an aeronautical process},
year={2018},
volume={},
number={},
pages={1-9},
keywords={aerospace industry;aerospace safety;certification;product design;quality control;aeronautical process;space industries;type certification;aeronautical industry;airworthiness;design organization approvals;spaceworthiness;SDOA;design quality;space agencies;space product assurance process improvement;satellite product;Space Authorities;Space Design Organization Approval;space product certification;space product operators;aeronautical products;Certification;Process control;Satellites;Industries;Aircraft;Safety;Standards},
doi={10.1109/AERO.2018.8396376},
ISSN={},
month={March},}
@INPROCEEDINGS{7979852,
author={R. {Chard} and K. {Chard} and J. {Alt} and D. Y. {Parkinson} and S. {Tuecke} and I. {Foster}},
booktitle={2017 IEEE 37th International Conference on Distributed Computing Systems Workshops (ICDCSW)},
title={Ripple: Home Automation for Research Data Management},
year={2017},
volume={},
number={},
pages={389-394},
keywords={astronomy computing;data acquisition;home automation;light sources;storage management;data volumes;data acquisition rates;complex research processes;research data management;home automation;high-level rules;RIPPLE;responsive storage architecture;storage systems;serverless computing;data lifecycles;astronomy;light source science;Monitoring;Telescopes;Observers;Home automation;Light sources;Reliability;Distributed databases;Responsive storage;Serverless;Software defined cyberinfrastructure},
doi={10.1109/ICDCSW.2017.30},
ISSN={},
month={June},}
@INPROCEEDINGS{8248273,
author={N. {Dimitrov} and A. {Topalov} and S. {Ahmed} and P. {Radev}},
booktitle={2017 4th International Conference on Systems and Informatics (ICSAI)},
title={Implementing neuro-adaptive control algorithms with sliding mode learning on industrial servo drives},
year={2017},
volume={},
number={},
pages={110-115},
keywords={adaptive control;brushless machines;control system synthesis;Lyapunov methods;machine control;motion control;neurocontrollers;permanent magnet motors;PI control;position control;servomechanisms;servomotors;stability;synchronous motors;variable structure systems;neuro-adaptive control algorithms;variable structure control concepts;VSC;industrial motion control systems;implemented advanced adaptive control approach;system PI controller;Motion Control Framework software platform;motion controllers PMC201/PMC202;software concept;open hardware;brushless synchronous servomotors;position control system;parameter adaptation;neuro-adaptive control scheme;industrial servo systems;adaptive control schemes;adaptive control capabilities;BLSM drive systems performance;performance requirements;permanent magnet brushless synchronous motors;high performance electric motors;industrial servo drives;Iron;FAA;Artificial intelligence;Informatics;5G mobile communication;Three-dimensional displays;sliding mode learning;stability;adaptive control;servo systems;industrial implementation},
doi={10.1109/ICSAI.2017.8248273},
ISSN={},
month={Nov},}
@ARTICLE{8672482,
author={F. {Lin} and M. {Huang} and S. {Chen} and C. {Hsu}},
journal={IEEE Transactions on Power Electronics},
title={Intelligent Maximum Torque per Ampere Tracking Control of Synchronous Reluctance Motor Using Recurrent Legendre Fuzzy Neural Network},
year={2019},
volume={34},
number={12},
pages={12080-12094},
keywords={adaptive control;angular velocity control;asymptotic stability;control system synthesis;digital signal processing chips;electric current control;electric machine analysis computing;fuzzy neural nets;Lyapunov methods;machine control;machine vector control;neurocontrollers;nonlinear control systems;permanent magnet motors;power engineering computing;reluctance motor drives;stators;synchronous motor drives;torque control;reluctance torque;TMTPA control;current speed control;RLFNN;optimal current angle command;MTPA online;ACC speed control;stator current magnitude command;ACC control;intelligent MTPA tracking control;intelligent maximum torque;ampere tracking control;recurrent Legendre fuzzy neural network;high-performance synchronous reluctance motor drive system;SynRM drive system;MTPA control system;TMS320F28075 32-bit floating-point digital signal processor;power 4.0 kW;Torque;Fuzzy neural networks;Velocity control;Mathematical model;Fuzzy control;Reluctance motors;Adaptive computed current (ACC) speed control;maximum torque per ampere (MTPA);recurrent Legendre fuzzy neural network (RLFNN);synchronous reluctance motor (SynRM)},
doi={10.1109/TPEL.2019.2906664},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8081557,
author={W. {Suleiman} and C. {Steffens} and A. {Sorg} and M. {Pesavento}},
booktitle={2017 25th European Signal Processing Conference (EUSIPCO)},
title={Gridless compressed sensing for fully augmentable arrays},
year={2017},
volume={},
number={},
pages={1986-1990},
keywords={array signal processing;compressed sensing;covariance analysis;direction-of-arrival estimation;signal reconstruction;gridless compressed sensing;fully augmentable arrays;direction-of-arrival estimation;nonuniform linear arrays;covariance lags;DOA estimation algorithm;sparse reconstruction;gridless SPARse ROW-norm reconstruction formulation;SPARROW formulation;Cramer-Rao bound;Direction-of-arrival estimation;Sensor arrays;Covariance matrices;Estimation;FAA;Signal processing algorithms;Fully augmentable arrays;Joint Sparsity;Grid-less Parameter Estimation;Direction-of-arrival estimation},
doi={10.23919/EUSIPCO.2017.8081557},
ISSN={},
month={Aug},}
@INPROCEEDINGS{8851828,
author={A. B. {Yusuf} and A. {Kor} and H. {Tawfik}},
booktitle={2019 International Joint Conference on Neural Networks (IJCNN)},
title={Development of a Simulation Experiment to Investigate In-Flight Startle using Fuzzy Cognitive Maps and Pupillometry},
year={2019},
volume={},
number={},
pages={1-10},
keywords={Human factors;Task analysis;Training;Decision making;Safety;Airplanes;Visualization;Flight Simulation;General Aviation;Safety;Loss of Control;Eye Tracking;Task Performance;Human Factors;Fuzzy Cognitive Maps},
doi={10.1109/IJCNN.2019.8851828},
ISSN={},
month={July},}
@INPROCEEDINGS{8659813,
author={N. D. {Dung} and J. {Rohacs}},
booktitle={2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)},
title={The drone-following models in smart cities},
year={2018},
volume={},
number={},
pages={1-6},
keywords={aerospace robotics;air safety;air traffic control;autonomous aerial vehicles;intelligent transportation systems;military aircraft;mobile robots;multi-robot systems;smart cities;stability;stochastic processes;telerobotics;secure environment;safe security standards;drone traffic safety;drone acceleration;smart city;multiple drone platforms;safe environment;drones operational quality;stochastic diffusion process;Markov drone-following model;intelligent transportation system;Federal Aviation Administration;FAA;cybersecurity;stability;Drones;FAA;Biological system modeling;Acceleration;Smart cities;Safety;drones;following-drone models;drone models;traffic flow;UAV;unmanned aerial vehicle},
doi={10.1109/RTUCON.2018.8659813},
ISSN={},
month={Nov},}
@INPROCEEDINGS{7313429,
author={L. {Cruciol} and J. {Clarke} and L. {Weigang}},
booktitle={2015 IEEE 18th International Conference on Intelligent Transportation Systems},
title={Trajectory Option Set Planning Optimization under Uncertainty in CTOP},
year={2015},
volume={},
number={},
pages={2084-2089},
keywords={air traffic control;decision making;game theory;optimisation;path planning;trajectory control;trajectory option set planning optimization;collaborative trajectory options program;air traffic management;ATM;National Airspace System;NAS;flight restriction;airspace restriction;route preference;Federal Aviation Administration;FAA;trajectory preference;greedy method;TOS strategy;airline flight;game theory approach;decision-making process;SG-CTOP cycle;SG-CTOP behavior;Delays;Trajectory;Games;Airports;Aircraft;FAA;Atmospheric modeling},
doi={10.1109/ITSC.2015.337},
ISSN={},
month={Sep.},}
@INPROCEEDINGS{8790194,
author={K. {Bhardwaj} and A. {Gavrilovska} and V. {Kolesnikov} and M. {Saunders} and H. {Yoon} and M. {Bondre} and M. {Babu} and J. {Walsh}},
booktitle={2019 IEEE International Conference on Cloud Engineering (IC2E)},
title={Addressing the Fragmentation Problem in Distributed and Decentralized Edge Computing: A Vision},
year={2019},
volume={},
number={},
pages={156-167},
keywords={distributed processing;multicast communication;peer-to-peer computing;video on demand;video streaming;video tape recorders;computational infrastructure;software services;Edge Exchange;decentralized directory service;multistakeholder edge;resource use;sharing policies;fragmentation problem;decentralized Edge computing;value proposition;data sources;edge resources;Edge computing;Stakeholders;Poles and towers;Servers;Peer-to-peer computing;Software;Data privacy;edge computing;edge exchange;decentralization;performance;serverless;cloud;orchestration;distributed system},
doi={10.1109/IC2E.2019.00030},
ISSN={},
month={June},}
@ARTICLE{8445623,
author={L. {Xiao} and S. {Li} and F. {Lin} and Z. {Tan} and A. H. {Khan}},
journal={IEEE Transactions on Industrial Informatics},
title={Zeroing Neural Dynamics for Control Design: Comprehensive Analysis on Stability, Robustness, and Convergence Speed},
year={2019},
volume={15},
number={5},
pages={2605-2616},
keywords={continuous time systems;control system synthesis;convergence;discrete time systems;Lyapunov matrix equations;Lyapunov methods;nonlinear control systems;nonlinear dynamical systems;robust control;dynamic Lyapunov equation;additive noises;finite-time convergence;dynamical problems;noise robustness property;novel control law;nonlinear neural dynamics;conventional ZND model;control design;effective controller;challenging scientific engineering problems;stability analysis;design control laws;zeroing neural dynamics;Mathematical model;Convergence;Artificial neural networks;Additive noise;Stability analysis;Informatics;Computational modeling;Design formula;dynamic Lyapunov equation;finite-time convergence;noise suppression;zeroing neural network (ZNN)},
doi={10.1109/TII.2018.2867169},
ISSN={},
month={May},}
@ARTICLE{7126947,
author={F. {Lin} and I. {Sun} and K. {Yang} and J. {Chang}},
journal={IEEE Transactions on Fuzzy Systems},
title={Recurrent Fuzzy Neural Cerebellar Model Articulation Network Fault-Tolerant Control of Six-Phase Permanent Magnet Synchronous Motor Position Servo Drive},
year={2016},
volume={24},
number={1},
pages={153-167},
keywords={adaptive control;cerebellar model arithmetic computers;closed loop systems;compensation;control system synthesis;fault tolerant control;fuzzy control;fuzzy neural nets;learning systems;Lyapunov methods;machine control;neurocontrollers;nonlinear equations;permanent magnet motors;position control;recurrent neural nets;robust control;rotors;servomotors;synchronous motor drives;torque control;recurrent fuzzy neural cerebellar model articulation network fault-tolerant control;six-phase permanent magnet synchronous motor position servo drive;RFNCMAN fault-tolerant control;six-phase PMSM position servo drive;fault detection;operating decision method;torque controller design;rotor position reference command tracking;ideal computed control law;recurrent fuzzy cerebellar model articulation network;recurrent fuzzy neural network;nonlinear equation;robust compensator;reconstructed error;adaptive learning algorithm;online training;Lyapunov stability;closed-loop stability;floating-point DSP;intelligent fault-tolerant control system;Windings;Torque;Fault tolerance;Fault tolerant systems;Servomotors;Uncertainty;Recurrent fuzzy neural cerebellar model articulation network (RFNCMAN);fault-tolerant control;six-phase permanent magnet synchronous motor (PMSM);Lyapunov stability;Taylor series expansion;Fault-tolerant control;Lyapunov stability;recurrent fuzzy neural cerebellar model articulation network (RFNCMAN);six-phase permanent magnet synchronous motor (PMSM);Taylor series expansion},
doi={10.1109/TFUZZ.2015.2446535},
ISSN={},
month={Feb},}
@INPROCEEDINGS{8605792,
author={S. {Imai} and C. A. {Varela} and S. {Patterson}},
booktitle={2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion (UCC Companion)},
title={A Performance Study of Geo-Distributed IoT Data Aggregation for Fog Computing},
year={2018},
volume={},
number={},
pages={278-283},
keywords={cloud computing;computer centres;data aggregation;Internet of Things;parallel processing;query processing;geo-distributed IoT data aggregation;fog computing;MapReduce-based data aggregation;Internet-of-Things data;end-to-end hierarchical data aggregation;aggregated data requests;geo-distributed clients;application performance;deployment architectures;geo-distributed architecture;cloud-based approach;US Census data;query response time;multitier geo-distributed datacenter architecture;cloud resources;fog resources;cloud based deployment;edge resource proximity;query clients;end-to-end data aggregation time;Data aggregation;Sensors;Data models;Cloud computing;Topology;Urban areas;Computer architecture;geo-distributed;map-reduce;edge;fog},
doi={10.1109/UCC-Companion.2018.00068},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8622378,
author={A. {Kaplunovich} and Y. {Yesha}},
booktitle={2018 IEEE International Conference on Big Data (Big Data)},
title={Consolidating billions of Taxi rides with AWS EMR and Spark in the Cloud : Tuning, Analytics and Best Practices},
year={2018},
volume={},
number={},
pages={4501-4507},
keywords={Big Data;cloud computing;data analysis;optimisation;parallel processing;public domain software;query processing;SQL;traffic information systems;big data analytics;EMR-Spark tuning options;Amazon Athena;serverless microservices;NoSql databases;SQL;Hadoop;total rides;optimal Spark queries;optimizing calculation time;Amazon EMR;pickup time;pickup location;New York taxi data;calculation complexities;data quality;optimization techniques;assorted tuning;optimal solution;New York taxi rides data;AWS EMR;Sparks;Public transportation;Servers;Tuning;Big Data;Structured Query Language;Tools;Analytics;Spark;EMR;Cloud;BigData;Best Practices;Parquet;AWS;Optimization;Tuning},
doi={10.1109/BigData.2018.8622378},
ISSN={},
month={Dec},}
@INPROCEEDINGS{7980047,
author={A. {Mehta} and R. {Baddour} and F. {Svensson} and H. {Gustafsson} and E. {Elmroth}},
booktitle={2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)},
title={Calvin Constrained — A Framework for IoT Applications in Heterogeneous Environments},
year={2017},
volume={},
number={},
pages={1063-1073},
keywords={cloud computing;Internet of Things;IoT applications;heterogeneous environments;application development;distributed resources;application components;actor as a service;Calvin constrained;embedded devices;resource-constrained devices;MicroPython;statically allocated library;automatic management;state variables;code reusability enhancement;Python-coded actors;off-the-shelve microcontroller-equipped devices;Runtime;Temperature measurement;Frequency measurement;Sensors;Cloud computing;Actuators;Ports (Computers);IoT;Distributed Cloud;Serverless Architecture;Dataflow Application Development Model},
doi={10.1109/ICDCS.2017.181},
ISSN={},
month={June},}
@INPROCEEDINGS{8837006,
author={D. {Chen} and M. {Gao} and A. {Liu} and M. {Chen} and Z. {Zhang} and Y. {Feng}},
booktitle={2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD)},
title={A Recurrent Neural Network Based Approach for Web Service QoS Prediction},
year={2019},
volume={},
number={},
pages={350-357},
keywords={decision trees;learning (artificial intelligence);multilayer perceptrons;quality of service;recurrent neural nets;regression analysis;Web services;deep learning based approach comparing;RNN based network;networked user-oriented online services;serverless microservices;function services;user experience;Web service QoS prediction;quality of service;recurrent neural network based approach;history service experience dataset;SOAP-JSON based Web services;regression problems;multiple LSTM;long term and short term memory;multilayer perceptron;decision tree;Throughput;Time factors;Quality of service;Web services;Predictive models;Prediction algorithms;Machine learning algorithms;QoS;recurrent neural network;LSTM;deep learning;web service},
doi={10.1109/ICAIBD.2019.8837006},
ISSN={},
month={May},}
@INPROCEEDINGS{8569321,
author={J. C. {Jones} and A. {Panken} and J. A. {Lopez}},
booktitle={2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)},
title={Surrogate-Based Optimization for Radar Surveillance Requirements to Support RWC and CA for Unmanned Aircraft},
year={2018},
volume={},
number={},
pages={1-10},
keywords={aerospace safety;air traffic control;aircraft control;autonomous aerial vehicles;collision avoidance;mobile robots;optimisation;search radar;sensors;surveillance;automated sensors;DAA requirements;radar surveillance requirements;ACAS Xu Minimum Operational Performance Standards;vendor design preferences;surveillance performance requirements;surrogate optimization techniques;alerting schemes;design parameters;high-dimensional design space;surveillance sensors;DAA implementation;Federal Aviation Administration;Airborne Collision Avoidance System Xu;unmanned aircraft;CA;Surveillance;Computational modeling;Measurement;Safety;Adaptation models;Aircraft;Radar tracking},
doi={10.1109/DASC.2018.8569321},
ISSN={},
month={Sep.},}
@INPROCEEDINGS{8741729,
author={M. {Uzun} and M. {Umut Demirezen} and E. {Koyuncu} and G. {Inalhan}},
booktitle={2019 IEEE Aerospace Conference},
title={Design of a Hybrid Digital-Twin Flight Performance Model Through Machine Learning},
year={2019},
volume={},
number={},
pages={1-14},
keywords={Fuels;Aircraft;Atmospheric modeling;Mathematical model;Planning;Data models;Estimation},
doi={10.1109/AERO.2019.8741729},
ISSN={},
month={March},}
@INPROCEEDINGS{8121623,
author={A. {Iosup} and G. {Andreadis} and V. V. {Beek} and M. {Bijman} and E. V. {Eyk} and M. {Neacsu} and L. {Overweel} and S. {Talluri} and L. {Versluis} and M. {Visser}},
booktitle={2017 16th International Symposium on Parallel and Distributed Computing (ISPDC)},
title={The OpenDC Vision: Towards Collaborative Datacenter Simulation and Exploration for Everybody},
year={2017},
volume={},
number={},
pages={85-94},
keywords={cloud computing;computer centres;OpenDC software;data artifacts;education practices;scientific methods;modern datacenters;cloud services;massive computer systems;Digital Economy;towards collaborative datacenter simulation;OpenDC vision;Cloud computing;FAA;Job shop scheduling;Resource management;OpenDC;datacenter operation;scheduling;cloud computing;big data;Simulation;Experimentation},
doi={10.1109/ISPDC.2017.25},
ISSN={},
month={July},}
@INPROCEEDINGS{7311486,
author={R. E. {Tompa} and M. J. {Kochenderfer} and R. {Cole} and J. K. {Kuchar}},
booktitle={2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC)},
title={Optimal aircraft rerouting during commercial space launches},
year={2015},
volume={},
number={},
pages={9B1-1-9B1-9},
keywords={air safety;air traffic control;aircraft;decision theory;Markov processes;optimisation;space debris;optimal aircraft rerouting;commercial space launch process;FAA;risk reduction;airspace;Markov decision process;aircraft safety;launch vehicle trajectory;potential debris trajectory;anomaly probability;air traffic;optimization approach;backward induction value iteration;aircraft maneuvers;two-stage-to-orbit launch vehicle;Cape Canaveral air force base;Aircraft;Vehicles;Trajectory;Atmospheric modeling;Safety;Standards;Military aircraft},
doi={10.1109/DASC.2015.7311486},
ISSN={},
month={Sep.},}
@INPROCEEDINGS{8552277,
author={Y. {Reddy}},
booktitle={2018 IEEE 4th International Conference on Big Data Security on Cloud (BigDataSecurity), IEEE International Conference on High Performance and Smart Computing, (HPSC) and IEEE International Conference on Intelligent Data and Security (IDS)},
title={Big Data Processing and Access Controls in Cloud Environment},
year={2018},
volume={},
number={},
pages={25-33},
keywords={authorisation;Big Data;cloud computing;cryptographic protocols;storage management;stored data;cloud environment;access level;cloud provider;cloud access facilities;event-based access control model;social media data;text data;Big Data processing;Internet-enabled devices;encryption;Kerberos;third party authentication protocol;symmetric key;Cloud computing;Big Data;Access control;Social network services;Google;Data models;big data;access control;cloud environment;anomaly score;unauthorized user;social network;cloud computing;stored data;time series},
doi={10.1109/BDS/HPSC/IDS18.2018.00019},
ISSN={},
month={May},}
@INPROCEEDINGS{7926544,
author={J. M. {Goppert} and A. R. {Wagoner} and D. K. {Schrader} and S. {Ghose} and Y. {Kim} and S. {Park} and M. {Gomez} and E. T. {Matson} and M. J. {Hopmeier}},
booktitle={2017 First IEEE International Conference on Robotic Computing (IRC)},
title={Realization of an Autonomous, Air-to-Air Counter Unmanned Aerial System (CUAS)},
year={2017},
volume={},
number={},
pages={235-240},
keywords={autonomous aerial vehicles;mobile robots;operating systems (computers);protocols;radar tracking;target tracking;telerobotics;counter unmanned aerial system;air-to-air CUAS;autonomous CUAS;ground based RADAR system;target UAS tracking;hunter UAS;robot operating system;ROS;MAVLink protocol;PX4 autopilot;human-in-the-loop systems;cylindrical net design;Radar tracking;Jamming;Radiation detectors;Target tracking;Protocols;FAA;UAS;CUAS;Counter UAS},
doi={10.1109/IRC.2017.10},
ISSN={},
month={April},}
@INPROCEEDINGS{8362529,
author={J. {El Hadj Ali} and E. {Feki} and M. A. {Zermani} and C. {de Prada} and A. {Mami}},
booktitle={2018 9th International Renewable Energy Congress (IREC)},
title={Incubator system identification of humidity and temperature: Comparison between two identification environments},
year={2018},
volume={},
number={},
pages={1-6},
keywords={biomedical equipment;health care;Matlab;medical control systems;obstetrics;paediatrics;patient care;patient monitoring;temperature control;preterm infant;World Health Organization;South Asia;preterm babies;infant incubator;relative humidity;oxygen concentration;temperature control system;baby incubator;identification system toolbox;Matlab environment;Hito IDENTification;incubator system identification;identification environments;SubSaharan Africa;temperature 37.0 degC;Artificial intelligence;FAA;Three-dimensional displays;Identification;modeling;incubator process;HITO},
doi={10.1109/IREC.2018.8362529},
ISSN={},
month={March},}
@ARTICLE{8650568,
author={M. H. M. {Sathik} and S. {Prasanth} and F. {Sasongko} and J. {Pou}},
journal={IEEE Aerospace and Electronic Systems Magazine},
title={Lifetime estimation of off-the-shelf aerospace power converters},
year={2018},
volume={33},
number={12},
pages={26-38},
keywords={aerospace propulsion;aircraft maintenance;electric propulsion;fuel economy;hybrid electric vehicles;power convertors;lower noise level;maintenance cost reduction;carbon emission reduction;manned aircraft;off-the-shelf aerospace power converters;lifetime estimation;vibration levels;optimize fuel consumption;hybrid electric propulsion systems;unmanned aircraft;Unmanned aerial vehicles;Insulated gate bipolar transistors;Maintenance engineering;Energy consumption;FAA;Multichip modules;Mathematical model;Hybrid electric vehicles;Aircraft propulsion},
doi={10.1109/MAES.2018.180030},
ISSN={},
month={Dec},}
@INPROCEEDINGS{7934742,
author={M. {Mosca} and S. {Hoffenson}},
booktitle={2017 Annual IEEE International Systems Conference (SysCon)},
title={Using agent-based modeling to understand stakeholder interactions in the rollout of nextgen by the federal aviation administration},
year={2017},
volume={},
number={},
pages={1-8},
keywords={avionics;decision making;software agents;agent-based modeling;stakeholder interactions;Federal Aviation Administration;NextGen technologies;National Airspace System;United States;decision making tool;NextGen rollout;Stakeholders;FAA;Atmospheric modeling;Agent-based modeling;Airports;Delays;Industries;Federal Aviation Administration;NextGen;agent-based modeling;decision-making for complex systems},
doi={10.1109/SYSCON.2017.7934742},
ISSN={},
month={April},}
@INPROCEEDINGS{8274564,
author={A. {Majzoobi} and M. {Mahoor} and A. {Khodaei}},
booktitle={2017 IEEE Power Energy Society General Meeting},
title={Machine learning applications in estimating transformer loss of life},
year={2017},
volume={},
number={},
pages={1-5},
keywords={ageing;failure analysis;fault diagnosis;fuzzy neural nets;fuzzy reasoning;learning (artificial intelligence);power engineering computing;power transformer insulation;remaining life assessment;ANFIS method;numerical simulations;adaptive network-based fuzzy inference system;data-driven static model;transformer loading;IEEE Std. C57.91-1995;transforiner insulation aging;electric utility companies;transformer loss of life estimation;machine learning method;hourly estimation;ambient temperature;transformer lifetime;load profile;failure diagnostics;transformer life assessment;Smart grids;FAA;Indexes;Industry applications;Adaptive Network-Based Fuzzy Inference System (ANFIS);transformer asset management;data-driven model;loss of life estimation},
doi={10.1109/PESGM.2017.8274564},
ISSN={},
month={July},}
@BOOK{8653550,
author={M. {Boehm} and A. {Kumar} and J. {Yang} and H. V. {Jagadish}},
booktitle={Data Management in Machine Learning Systems},
title={Data Management in Machine Learning Systems},
year={2019},
volume={},
number={},
pages={},
keywords={ML systems;data management;data science;ML lifecycle;ML training;ML serving;in-database analytics;linear algebra;optimizing compilers;distributed machine learning;hardware accelerators;data access methods;resource elasticity;data cleaning;model management;benchmarking},
doi={},
ISSN={},
publisher={Morgan & Claypool},
isbn={},
url={https://ieeexplore.ieee.org/document/8653550},}
@INPROCEEDINGS{8396612,
author={S. {Chindea} and P. {Iravani} and J. {Luke du Bois} and D. {Cleaver} and A. {Lawrenson}},
booktitle={2018 IEEE Aerospace Conference},
title={Holistic approach to safe operation of small UAS in class G airspace},
year={2018},
volume={},
number={},
pages={1-12},
keywords={air traffic control;airborne radar;aircraft control;autonomous aerial vehicles;collision avoidance;CW radar;radar antennas;radar cross-sections;surveillance;air traffic detection;total commercial UAS fleet size;general aviation;holistic collision avoidance protocol;pre-flight mission planning;collision avoidance equipment;traffic detection system;continuous wave radar;Equivalent Isotropically Radiated Power;ground-to-air experiments;test-target aircraft;minimum detection range;air-to-air tests;human eye detection;radar technology;safe operation;class G airspace;frangible structures;Automatic Dependent Surveillance-Broadcast transceivers;light weight radar;situational awareness;Radar Cross Section corner reflector;Beyond Visual Line of Sight;BVLOS;Federal Aviation Administration projections;mass 450.0 g;power 5.0 W;frequency 24.0 GHz;size 400.0 m;size 1.1 m;size 480.0 m;mass 7.0 kg;Aircraft;Collision avoidance;Radar cross-sections;Aircraft propulsion;Radar detection;Safety},
doi={10.1109/AERO.2018.8396612},
ISSN={},
month={March},}
@ARTICLE{8735795,
author={L. {Shan} and R. {Miura} and T. {Kagawa} and F. {Ono} and H. {Li} and F. {Kojima}},
journal={IEEE Access},
title={Machine Learning-Based Field Data Analysis and Modeling for Drone Communications},
year={2019},
volume={7},
number={},
pages={79127-79135},
keywords={aerospace robotics;autonomous aerial vehicles;data analysis;learning (artificial intelligence);machine learning-based field data analysis;drone communications;communication area;emergency communications;device-to-device communications;drone control;drone location information sharing system;long distance propagation field experiment;data collection;drone applications;unmanned aerial vehicle;aircraft;beyond the line of sight;Drones;Machine learning;Data models;Information management;Communication systems;Analytical models;Aircraft;Unmanned aerial vehicle (UAV);drone communication;machine learning;Internet of Things (IoT)},
doi={10.1109/ACCESS.2019.2922544},
ISSN={},
month={},}
@INPROCEEDINGS{8109174,
author={R. {Chard} and K. {Chard} and S. {Tuecke} and I. {Foster}},
booktitle={2017 IEEE 13th International Conference on e-Science (e-Science)},
title={Software Defined Cyberinfrastructure for Data Management},
year={2017},
volume={},
number={},
pages={456-457},
keywords={data mining;groupware;meta data;multi-agent systems;security of data;software defined networking;metadata extraction;Software Defined Cyberinfrastructure;end-to-end lifecycle;high-level management policies;data movement;data management;data-centric;data acquisition;data analysis;data sharing;RIPPLE agent;Performance evaluation;Software;Monitoring;Pipelines;Conferences;Metadata;Software Defined Cyberinfrastructure;Ripple;Data Management},
doi={10.1109/eScience.2017.69},
ISSN={},
month={Oct},}
@INPROCEEDINGS{8604253,
author={E. {Whalen} and G. {Gampala} and K. {Hunter} and S. {Mishra} and C. J. {Reddy}},
booktitle={2018 AMTA Proceedings},
title={Aircraft Radome Characterization via Multiphysics Simulation},
year={2018},
volume={},
number={},
pages={1-4},
keywords={aerodynamics;computational fluid dynamics;finite element analysis;geometrical optics;Green's function methods;radar antennas;radomes;aircraft radome characterization;structural damage;multiphysics approach;airborne radomes;electromagnetic performance;weather radar antenna;radome walls;nose cone radome;implicit structural solution;structural integrity;bird strike impact;explicit structural FEM solver;multiphysics simulation techniques;damage prediction;ray-launching geometric optics;planar Green's function approach;composite fiberglass plies;foam core;Radomes;Computational modeling;Birds;Atmospheric modeling;Aerodynamics;Load modeling;Aircraft},
doi={},
ISSN={},
month={Nov},}
@ARTICLE{8695767,
author={G. {Chen} and J. {Qian} and Z. {Zhang} and Z. {Sun}},
journal={IEEE Access},
title={Applications of Novel Hybrid Bat Algorithm With Constrained Pareto Fuzzy Dominant Rule on Multi-Objective Optimal Power Flow Problems},
year={2019},
volume={7},
number={},
pages={52060-52084},
keywords={fuel;fuzzy set theory;IEEE standards;load flow;Pareto optimisation;sorting;multiobjective optimal power flow problems;novel hybrid bat algorithm;Pareto optimal set;NHBA-CPFD algorithm;IEEE 30-node;IEEE 57-node;NSGA-III algorithms;HV;hyper-volume;GD;generational distance;PFs;Pareto fronts;Pareto-dominance method;CPM;MOPSO;IEEE 118-node systems;active power loss;value-point loadings;fuel cost;nondominated sorting method;zero constraint-violation;POS;crossover mechanisms;mutation mechanisms;population-diversity;MRFME;monotone random filling model based on extreme;MOOPF simulation cases;premature-convergence;Pareto fuzzy dominant rule;Fuels;Generators;Optimization;Integrated circuits;Load flow;Sorting;Loading;Novel hybrid bat algorithm;multi-objective optimal power flow problem;constrained Pareto fuzzy dominant strategy;monotone random filling model based on extreme;performance metrics},
doi={10.1109/ACCESS.2019.2912643},
ISSN={},
month={},}
@INPROCEEDINGS{8270418,
author={E. {Mostajeran} and M. N. M. {Mydin} and M. F. {Khalid} and B. I. {Ismail} and R. {Kandan} and O. H. {Hoe}},
booktitle={2017 IEEE Conference on Application, Information and Network Security (AINS)},
title={Quantitative risk assessment of container based cloud platform},
year={2017},
volume={},
number={},
pages={19-24},
keywords={cloud computing;risk management;security of data;virtualisation;security metrics;measures security risk level;quantitative risk assessment;container based cloud platform;container virtualization technology;cloud computing service deployment;cloud infrastructure;vulnerability detection;risk assessment methods;containerized cloud platform;container deployment;Containers;Security;Measurement;Benchmark testing;Risk management;Cloud computing;Container virtualization;Cloud Computing;Risk Assessment},
doi={10.1109/AINS.2017.8270418},
ISSN={},
month={Nov},}
@INPROCEEDINGS{8784057,
author={N. {Vance} and M. T. {Rashid} and D. {Zhang} and D. {Wang}},
booktitle={2019 IEEE International Conference on Smart Computing (SMARTCOMP)},
title={Towards Reliability in Online High-Churn Edge Computing: A Deviceless Pipelining Approach},
year={2019},
volume={},
number={},
pages={301-308},
keywords={data acquisition;mobile computing;object detection;sensing applications;data acquisition;SSEC applications;reliable server hardware;high-churn edge systems;edge devices;data loss;object detection application;deviceless pipelining approach;computation offloading schemes;context awareness;online high-churn edge computing;social sensing based edge computing;Edge computing;Reliability;Pipeline processing;Sensors;Cloud computing;Task analysis;Performance evaluation;social sensing;IoT;edge computing;churn},
doi={10.1109/SMARTCOMP.2019.00066},
ISSN={},
month={June},}
@INPROCEEDINGS{7727444,
author={V. M. {Janakiraman} and D. {Nielsen}},
booktitle={2016 International Joint Conference on Neural Networks (IJCNN)},
title={Anomaly detection in aviation data using extreme learning machines},
year={2016},
volume={},
number={},
pages={1993-2000},
keywords={aerospace computing;air safety;computational complexity;data mining;pattern classification;unsupervised learning;extreme learning machines;fast anomaly detection algorithms;large aviation data sets;outlier detection;one-class classification;aviation safety risks;MKAD computational complexity;very large data set mining;ELM fast training;unsupervised ELM algorithms;autoencoder;embedding models;nominal data distribution;outlier upper bound;real aviation safety benchmark problem;anomaly decision boundary;Training data;Training;Data models;Adaptation models;Detection algorithms;Safety;Mathematical model},
doi={10.1109/IJCNN.2016.7727444},
ISSN={},
month={July},}
@INPROCEEDINGS{8258201,
author={H. {Alipour} and Y. {Liu}},
booktitle={2017 IEEE International Conference on Big Data (Big Data)},
title={Online machine learning for cloud resource provisioning of microservice backend systems},
year={2017},
volume={},
number={},
pages={2433-2441},
keywords={cloud computing;decision making;learning (artificial intelligence);pattern clustering;cloud resource provisioning;microservice backend systems;scaling policy;microservice architecture;monitoring metrics;machine learning algorithms;Netflix workload benchmark application;self-managing cloud data services;variant workload;online machine learning;resource demand;workload pattern learning;decision making;Predictive models;Cloud computing;Unified modeling language;Training;Monitoring;Measurement;Data models;Auto-scaling;Cloud Computing;Machine learning},
doi={10.1109/BigData.2017.8258201},
ISSN={},
month={Dec},}
@ARTICLE{8817960,
author={X. {Wang} and H. {Li}},
journal={IEEE Access},
title={One-Factor Cancellable Palmprint Recognition Scheme Based on OIOM and Minimum Signature Hash},
year={2019},
volume={7},
number={},
pages={131338-131354},
keywords={biometrics (access control);cryptography;data privacy;feature extraction;image matching;palmprint recognition;matching stage;palmprint recognition performance;Minimum Signature Hash;traditional Cancellable biometrics scheme;revocable template;token-stolen problem;one-factor cancellable palmprint biometric recognition scheme;Orthogonal Index;MSH;random binary string;binary OIOM hash code;helper data;final pseudonymous identifier;palmprint images;PolyU database;touchless TJU database;Palmprint recognition;Privacy;Authentication;Databases;Cryptography;Biometric recognition;cancellable palmprint feature;orthogonal index of maximum;minimum signature hash},
doi={10.1109/ACCESS.2019.2938019},
ISSN={},
month={},}
@INPROCEEDINGS{8433173,
author={W. {Sun} and N. {Zhang} and W. {Lou} and Y. T. {Hou}},
booktitle={2018 IEEE Conference on Communications and Network Security (CNS)},
title={Tapping the Potential: Secure Chunk-based Deduplication of Encrypted Data for Cloud Backup},
year={2018},
volume={},
number={},
pages={1-9},
keywords={back-up procedures;cloud computing;cryptography;meta data;random functions;storage management;cloud backup;secure chunk-based deduplication scheme;enterprise backup storage setting;file-level encrypted data deduplication;file-based deduplication;randomized oblivious key generation mechanism;backup service;per-backup rate-limiting policy;online brute-force attack;data encryption;chunk-level deduplication system;plaintext deduplication performance;metadata management;Encryption;Servers;Containers;Cloud computing;Protocols},
doi={10.1109/CNS.2018.8433173},
ISSN={},
month={May},}
@ARTICLE{8306511,
author={V. {Sourlas} and O. {Ascigil} and I. {Psaras} and G. {Pavlou}},
journal={IEEE Transactions on Network and Service Management},
title={Enhancing Information Resilience in Disruptive Information-Centric Networks},
year={2018},
volume={15},
number={2},
pages={746-760},
keywords={Internet;telecommunication network reliability;telecommunication network routing;disruptive information-centric networks;data communications;network-centric resilience schemes;information-centric resilience;disruptive environments;information-centricity;information-centric networking paradigm;ICN;named data networking architecture;network failures;satisfied interest table;SIT table;service resilience;information resilience;node-oriented path recovery routing;interest management routing table;information resilience scheme;Resilience;Routing;Servers;Network architecture;Proposals;Absorption;Performance evaluation;Information-centric networks;information resilience;fault management;disruptive scenarios},
doi={10.1109/TNSM.2018.2811944},
ISSN={},
month={June},}
@INPROCEEDINGS{7311414,
author={P. {Pierpaoli} and M. {Egerstedt} and A. {Rahmani}},
booktitle={2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC)},
title={Altering UAV flight path by threatening collision},
year={2015},
volume={},
number={},
pages={4A4-1-4A4-10},
keywords={air traffic control;autonomous aerial vehicles;collision avoidance;decision making;decision theory;UAV flight path;threatening collision;air traffic control;decentralized decision-making system;UAS;ADS-B information;distributed systems;neighboring traffic;deterministic sense-avoid strategy;predictable collision avoidance property;evader agent trajectory;numerical simulations;ground robot experiments;decision process;autonomous aircraft;Aircraft;Trajectory;Lead;Safety;Vehicles;Switches;Turning},
doi={10.1109/DASC.2015.7311414},
ISSN={},
month={Sep.},}
@ARTICLE{8481418,
author={C. {Yang} and J. {Mao} and X. {Qian} and P. {Wei}},
journal={IEEE Transactions on Intelligent Transportation Systems},
title={Designing Robust Air Transportation Networks via Minimizing Total Effective Resistance},
year={2019},
volume={20},
number={6},
pages={2353-2366},
keywords={aircraft communication;computational complexity;convex programming;greedy algorithms;integer programming;nonlinear programming;telecommunication network reliability;telecommunication network routing;transportation;minimizing total effective resistance;robust air transportation network;ongoing research effort;network robustness;case studies;flight route selection problem;candidate route;integer nonlinear programming problem;optimality performance;computational efficiency;small/medium-scale networks;large-scale networks;network scales;robust air transportation networks;Robustness;Resistance;Electrical resistance measurement;Airports;Optimization;Air transportation network;total effective resistance;route selection;convex relaxation;submodular},
doi={10.1109/TITS.2018.2868955},
ISSN={},
month={June},}
@ARTICLE{7015602,
author={J. N. {Gross} and Y. {Gu} and M. B. {Rhudy}},
journal={IEEE Transactions on Automation Science and Engineering},
title={Robust UAV Relative Navigation With DGPS, INS, and Peer-to-Peer Radio Ranging},
year={2015},
volume={12},
number={3},
pages={935-944},
keywords={autonomous aerial vehicles;filtering theory;Global Positioning System;inertial navigation;measurement errors;Monte Carlo methods;peer-to-peer computing;radio direction-finding;sensor fusion;ultra wideband communication;carrier-phase differential GPS;peer-to-peer ranging radios;low-cost inertial navigation systems;small unmanned aerial vehicles;sensor fusion algorithm;GPS-INS-based absolute navigation solutions;relative navigation filter;baseline separation;integer-fixed relative CP-DGPS;dynamic baseline estimation performance;Monte Carlo simulation trials;UAV formation flight control simulator;GPS constellation simulator;stochastic models;inertial measurement unit sensor errors;IMU sensor errors;measurement noise;3D relative positioning;3D residual sum of squares accuracy;3D RSS accuracy;differential carrier phase ambiguities;phase ambiguity;ultra wideband ranging radios;carrier ambiguity integer-resolving algorithm;Global Positioning System;Vectors;Satellites;Satellite broadcasting;Noise measurement;Phase measurement;Cooperative remote sensing;cooperative UAVs;differential GPS/INS;multi-sensor fusion;relative navigation},
doi={10.1109/TASE.2014.2383357},
ISSN={},
month={July},}
@ARTICLE{8551278,
author={S. T. {Barratt} and M. J. {Kochenderfer} and S. P. {Boyd}},
journal={IEEE Transactions on Intelligent Transportation Systems},
title={Learning Probabilistic Trajectory Models of Aircraft in Terminal Airspace From Position Data},
year={2019},
volume={20},
number={9},
pages={3536-3545},
keywords={aircraft landing guidance;airports;collision avoidance;learning (artificial intelligence);position measurement;statistical analysis;trajectory control;terminal airspace;position data;aircraft plan collision avoidance maneuvers;off-line performance;safety analyses;probabilistic generative model;radar-based position measurements;aircraft landings;aircraft trajectories;aeronautical systems;learning probabilistic trajectory models;aircraft motion prediction;statistical properties;Trajectory;Atmospheric modeling;Aircraft;Airports;Position measurement;Data models;Radar;Air traffic control;predictive models;machine learning;unsupervised learning;Gaussian mixture model;clustering methods},
doi={10.1109/TITS.2018.2877572},
ISSN={},
month={Sep.},}
@INPROCEEDINGS{8247502,
author={M. {Mendieta} and C. A. {Martín} and C. L. {Abad}},
booktitle={2017 IEEE Second Ecuador Technical Chapters Meeting (ETCM)},
title={A control theory approach for managing cloud computing resources: A proof-of-concept on memory partitioning},
year={2017},
volume={},
number={},
pages={1-6},
keywords={closed loop systems;cloud computing;control engineering computing;resource allocation;dynamic memory partitioning;cloud caches;control theory approach;autonomic cloud services;system performance;control engineering principles;closed-loop controller;resource partitioning;cloud computing resource management;SLO;service level objectives;Cloud computing;Resource management;Control engineering;Computational modeling;Control theory;Adaptation models;Quality of service;Cloud computing;control engineering;resource management;memory partitioning},
doi={10.1109/ETCM.2017.8247502},
ISSN={},
month={Oct},}
@ARTICLE{8705328,
author={M. A. A. {Careem} and A. {Dutta} and W. {Wang}},
journal={IEEE Transactions on Cognitive Communications and Networking},
title={Spectrum Enforcement and Localization Using Autonomous Agents With Cardinality},
year={2019},
volume={5},
number={3},
pages={702-715},
keywords={approximation theory;computational complexity;mobile robots;multi-agent systems;multi-robot systems;scheduling;practical system;deployable system;solution leverages;optimum cardinality;routing schedule;minimum possible cost;crowdsourcing;scheduling problem;urban locale;multiple continents;UAVs;localization accuracy;spectrum enforcement;policy violations;mobile autonomous agents;self-driving cars;cost-effective enforcement systems;multiagent planning;multiple agents;unique agents;infraction location;enforcement tasks;statistically similar performance;size 1.2 km;Signal to noise ratio;Planning;Autonomous agents;Sensors;Task analysis;Routing;Mobile agents;Enforcement of spectrum policies;multi-agent systems;crowdsourcing;localization;path planning;dynamic spectrum access},
doi={10.1109/TCCN.2019.2914915},
ISSN={},
month={Sep.},}
@INPROCEEDINGS{8622274,
author={W. {Chiang} and X. {Liu} and T. {Zhang} and B. {Yang}},
booktitle={2018 IEEE International Conference on Big Data (Big Data)},
title={A Study of Exact Ridge Regression for Big Data},
year={2018},
volume={},
number={},
pages={3821-3830},
keywords={Big Data;learning (artificial intelligence);regression analysis;storage management;exact ridge regression;regularization technique;regression algorithms;highly correlated data;big data version;dataset;RAM-accommodable subsets;memory barrier;sufficient statistics;innovative algorithm;data-sets;computation time;memory requirement;minimal memory requirements;RAM;sufficient matrix;Computational modeling;Big Data;Analytical models;Graphics processing units;Data models;Mathematical model;Libraries;Big data;Ridge regression;Working Sufficient Matrix;Linear Regression;Regularization},
doi={10.1109/BigData.2018.8622274},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8847112,
author={D. {Chemodanov} and C. {Qu} and O. {Opeoluwa} and S. {Wang} and P. {Calyam}},
booktitle={2019 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)},
title={Policy-Based Function-Centric Computation Offloading for Real-Time Drone Video Analytics},
year={2019},
volume={},
number={},
pages={1-6},
keywords={cloud computing;computer vision;image classification;Internet of Things;mobile computing;remotely operated vehicles;video signal processing;Web services;real-time drone video analytics;computer vision applications;Internet-of-Things devices;geo-distributed areas;object classification;container-based microservice functions;computer vision pipeline;policy-based function-centric computation offloading;intensive media-rich data processing;function-centric computing resource architecture;Quality of Experience;edge computing;cloud computing;Drones;Streaming media;Real-time systems;Cloud computing;Servers;Computer architecture;Pipelines;Cloud/fog Computing;function-centric computing;drone video analytics;computation offloading policies.},
doi={10.1109/LANMAN.2019.8847112},
ISSN={},
month={July},}
@INPROCEEDINGS{7939055,
author={R. {Tabish} and R. {Mancuso} and S. {Wasly} and S. S. {Phatak} and R. {Pellizzoni} and M. {Caccamo}},
booktitle={2017 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS)},
title={A Reliable and Predictable Scratchpad-centric OS for Multi-core Embedded Systems},
year={2017},
volume={},
number={},
pages={377-388},
keywords={avionics;embedded systems;multiprocessing systems;operating systems (computers);safety-critical software;scheduling;scratchpad centric OS;multicore embedded systems;safety-critical systems;avionics;schedulability;Hardware;Real-time systems;Random access memory;Timing;Error correction codes;Multicore processing;Reliability},
doi={10.1109/RTAS.2017.1},
ISSN={},
month={April},}
@INPROCEEDINGS{7777189,
author={S. {Sekkate} and M. {Khalil} and A. {Adib}},
booktitle={2016 International Conference on Wireless Networks and Mobile Communications (WINCOM)},
title={An improved automatic aircraft identification system},
year={2016},
volume={},
number={},
pages={47-51},
keywords={aircraft communication;Doppler effect;OFDM modulation;spread spectrum communication;telecommunication security;watermarking;automatic aircraft identification system;aeronautical air-ground channel;multipath propagation;Doppler shift;orthogonal frequency division multiplexing;OFDM;spread spectrum watermarking;embedded digital identification data;call sign;tail number;speech signal;OFDM;Watermarking;Doppler effect;Aircraft;Atmospheric modeling;Receivers;Fading channels;Air traffic control;OFDM;aeronautical channel;spread spectrum watermarking},
doi={10.1109/WINCOM.2016.7777189},
ISSN={},
month={Oct},}
@INPROCEEDINGS{7479965,
author={S. {Ananth} and A. {Saranya}},
booktitle={2016 International Conference on Computer Communication and Informatics (ICCCI)},
title={Reliability enhancement for cloud services - a survey},
year={2016},
volume={},
number={},
pages={1-7},
keywords={cloud computing;optimisation;software reliability;storage management;reliability enhancement;cloud services;IT services;information technology services;cloud computing environment;fault tolerance;VM replication;virtual machines;checkpoint image;distributed storage;heuristic algorithm;optimization problem;cloud simulator;OpenStack;Cloud computing;Fault tolerance;Fault tolerant systems;Virtual machining;Servers;Neutrons;Reliability;Checkpoint images;Openstack;Data center;Node},
doi={10.1109/ICCCI.2016.7479965},
ISSN={},
month={Jan},}
@ARTICLE{8093701,
author={D. {Klaftenegger} and K. {Sagonas} and K. {Winblad}},
journal={IEEE Transactions on Parallel and Distributed Systems},
title={Queue Delegation Locking},
year={2018},
volume={29},
number={3},
pages={687-704},
keywords={multi-threading;software libraries;software tools;synchronisation;queue delegation locking;synchronization mechanisms;sequential execution time;detaching execution;delegated critical section;synchronization algorithms;shared priority queue show;delegation algorithms;delegated write operations;continuing execution;parallel reads;QD locking;Instruction sets;Message systems;Synchronization;Coherence;Scalability;Throughput;Hardware;Locking;synchronization;delegation;detached execution;multi-core;NUMA},
doi={10.1109/TPDS.2017.2767046},
ISSN={},
month={March},}
@INPROCEEDINGS{8076501,
author={Y. {Ding} and T. {Zhang}},
booktitle={2017 7th IEEE International Conference on Electronics Information and Emergency Communication (ICEIEC)},
title={An improved block CFO estimation algorithm based on zadoff-chu pilot sequence for LDACS in UAV channel},
year={2017},
volume={},
number={},
pages={11-14},
keywords={aircraft communication;channel estimation;Doppler effect;error statistics;frequency estimation;OFDM modulation;synchronisation;residual Doppler effect;one-shot estimation algorithm;aviation enroute channel;UAV over-water channel;loop-filtering algorithm;improved block CFO estimation algorithm;LDACS;Zadoff-Chu sequence;periodic ZC-pilot;improved block frequency;L-band digital aeronautical communication system;orthogonal frequency division multiplexing;OFDM communication system;Zadoff-chu pilot sequence;unmanned aerial vehicle over-water channel;block pilot correlated calculation;noise figure 6.0 dB;noise figure 4.0 dB;OFDM;Estimation;Frequency estimation;Bit error rate;Channel estimation;Filtering algorithms;Mathematical model;LDACS;pilot;UAV channel;Doppler estimation;Zadoff-Chu sequence},
doi={10.1109/ICEIEC.2017.8076501},
ISSN={},
month={July},}
@INPROCEEDINGS{7311476,
author={R. {Cohen} and A. {Bui Long} and R. {Jobredeaux} and E. {Feron}},
booktitle={2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC)},
title={A credible autocoding application within a rocket and its payload},
year={2015},
volume={},
number={},
pages={8C4-1-8C4-10},
keywords={aerospace computing;C language;certification;formal languages;program compilers;rockets;code generation;credible autocoding;model-based design;C code;formal language;rocket system;NASA;certification;Rockets;Payloads;Sensors;Software;Kalman filters;Aerospace electronics;Mathematical model},
doi={10.1109/DASC.2015.7311476},
ISSN={},
month={Sep.},}
@INPROCEEDINGS{8569863,
author={G. {Zhu} and P. {Wei} and R. {Hoffman} and B. {Hackney}},
booktitle={2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)},
title={Centralized Disaggregate Stochastic Allocation Models for Collaborative Trajectory Options Program (CTOP)},
year={2018},
volume={},
number={},
pages={1-10},
keywords={aerospace computing;air traffic;decision making;decision support systems;stochastic programming;flight operators;desired reroute options;Trajectory Options Set;scenario-based capacity information;disaggregate stochastic programming models;static model;dynamic models;CTOP programs;centralized disaggregate stochastic allocation models;Collaborative Trajectory Options Program;collaborative decision making;Traffic Management Initiative;flow constrained area-based airspace constraints;Principal component analysis;Delays;Atmospheric modeling;Stochastic processes;Computational modeling;Planning;Programming;CTOP;TOS;Stochastic Programming;Static Model;Dynamic Model;TMI},
doi={10.1109/DASC.2018.8569863},
ISSN={},
month={Sep.},}
@ARTICLE{8003292,
author={M. E. {Weber} and J. Y. N. {Cho} and H. G. {Thomas}},
journal={IEEE Transactions on Geoscience and Remote Sensing},
title={Command and Control for Multifunction Phased Array Radar},
year={2017},
volume={55},
number={10},
pages={5899-5912},
keywords={command and control systems;meteorological radar;phased array radar;search radar;multifunction phased array radar;MPAR;weather surveillance;command and control function;active array architecture;overlapped subarrays;multiple concurrent receive beams;weather service radar network;WSR-88D network;weather warnings;Meteorology;Meteorological radar;Surveillance;Aircraft;Airborne radar;Command and control systems;Active array radar;adaptive scan-time management;command and control;weather radar},
doi={10.1109/TGRS.2017.2716935},
ISSN={},
month={Oct},}
@INPROCEEDINGS{7881628,
author={P. {Leitner} and J. {Cito} and E. {Stöckli}},
booktitle={2016 IEEE/ACM 9th International Conference on Utility and Cloud Computing (UCC)},
title={Modelling and Managing Deployment Costs of Microservice-Based Cloud Applications},
year={2016},
volume={},
number={},
pages={165-174},
keywords={cloud computing;graph theory;programming environments;programming languages;deployment cost modelling;deployment cost management;microservice-based cloud application;CostHat model;cloud programming;integrated development environment;IDE;Python implementation;graph-based cost model;Cloud computing;Computational modeling;Analytical models;Numerical models;Real-time systems;Computer architecture;Visualization;cloud computing;microservices;deployment costs;what-if analysis;graph model},
doi={},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8831198,
author={L. {Larsson} and W. {Tärneberg} and C. {Klein} and E. {Elmroth}},
booktitle={2019 IEEE International Conference on Autonomic Computing (ICAC)},
title={Quality-Elasticity: Improved Resource Utilization, Throughput, and Response Times Via Adjusting Output Quality to Current Operating Conditions},
year={2019},
volume={},
number={},
pages={52-62},
keywords={cloud computing;resource allocation;retail data processing;quality-elastic approach;quality-elasticity;software services;resource utilization;online shopping site;Throughput;Cloud computing;Time factors;Resource management;Software;Containers;Virtual machining;cloud computing;service delivery;adaptive software;brownout},
doi={10.1109/ICAC.2019.00017},
ISSN={},
month={June},}
@ARTICLE{8754800,
author={S. {Jan} and Y. {Chen}},
journal={IEEE Sensors Journal},
title={Development of a New Airport Unusual-Weather Detection System With Aircraft Surveillance Information},
year={2019},
volume={19},
number={20},
pages={9543-9551},
keywords={aircraft navigation;meteorology;radio broadcasting;surveillance;aircraft surveillance information;aviation unusual-weather detection system;unusual-weather conditions;automatic dependent surveillance-broadcast signal;vertical weather information;low-level weather conditions;aviation unusual-weather detection model;aircraft irregular-movement detection algorithm;airport unusual-weather detection system;aviation unusual-weather alert systems;aviation unusual-weather alert systems;B;Aircraft;Meteorology;Airports;Aircraft manufacture;Anomaly detection;Aircraft navigation;Atmospheric modeling;Automatic dependent surveillance - broadcast;aviation unusual weather;support vector machine},
doi={10.1109/JSEN.2019.2926391},
ISSN={},
month={Oct},}
@ARTICLE{7873269,
author={Z. {Sun} and B. {Wang} and J. {Sheng} and Y. {Hu} and Y. {Wang} and J. {Shao}},
journal={IEEE Access},
title={Identifying Influential Nodes in Complex Networks Based on Weighted Formal Concept Analysis},
year={2017},
volume={5},
number={},
pages={3777-3789},
keywords={eigenvalues and eigenfunctions;formal concept analysis;influential nodes;complex networks;weighted formal concept analysis;network attacks;information dissemination;epidemic spreading;WFCA;SIR model;Complex networks;Context;Formal concept analysis;Algorithm design and analysis;Sun;Lattices;Aggregates;Influential nodes;weighted formal concept analysis;complex networks;SIR model},
doi={10.1109/ACCESS.2017.2679038},
ISSN={},
month={},}
@INPROCEEDINGS{8075109,
author={Z. {Hongyu} and H. {Li} and L. {Jing}},
booktitle={2017 Forum on Cooperative Positioning and Service (CPGPS）},
title={An optimal weighted least squares RAIM algorithm},
year={2017},
volume={},
number={},
pages={122-127},
keywords={fault diagnosis;Global Positioning System;least squares approximations;optimal weighted least squares RAIM algorithm;missed detection;false detection;global navigation satellite system;fault detection;novel optimized algorithm;receiver autonomous integrity monitoring;least squares residuals RAIM algorithm;GPS;BDS multiconstellation;Optimized production technology;Global Positioning System;Geometry;Phase frequency detector;RAIM;geometry structure;optimal weighted least squares algorithm;GPS/BDS multi-constellationcomponent},
doi={10.1109/CPGPS.2017.8075109},
ISSN={},
month={May},}
@INPROCEEDINGS{8500206,
author={E. {Crifasi} and S. {Pike} and Z. {Stuedemann} and S. M. {Alnaeli} and Z. {Altahat}},
booktitle={2018 IEEE International Conference on Electro/Information Technology (EIT)},
title={Cloud-Based Source Code Security and Vulnerabilities Analysis Tool for C/C++ Software Systems},
year={2018},
volume={},
number={},
pages={0651-0654},
keywords={C++ language;cloud computing;security of data;software engineering;source code (software);XML;cloud-based source code security;software system;security vulnerabilities;web/cloud based analysis tool;desktop based analysis tool;static analysis;desktop based solutions;vulnerable functions;common unsafe functions;software engineering;computer science;unsafe code;unsafe calls;cloud based web application analysis tool;Tools;Software systems;Cloud computing;XML;Market research;Bitcoin;unsafe functions;security;vulnerability;cloud;web application;alternatives},
doi={10.1109/EIT.2018.8500206},
ISSN={},
month={May},}
@INPROCEEDINGS{7170279,
author={ {Xiangyang Xu} and {Hua Yuan} and {Yu Qian}},
booktitle={2015 12th International Conference on Service Systems and Service Management (ICSSSM)},
title={Analyzing the system features of the flight delays: A network perspective},
year={2015},
volume={},
number={},
pages={1-5},
keywords={airports;complex networks;transportation;flight delays;air transport system;complex network theory;airline service;air flight routes;airports;Airports;Delays;Industries;Complex networks;Customer satisfaction;Airline service;flight delay;network;busy airport},
doi={10.1109/ICSSSM.2015.7170279},
ISSN={},
month={June},}
@INPROCEEDINGS{8567693,
author={Y. {Xiong} and Y. {Sun} and L. {Xing} and Y. {Huang}},
booktitle={2018 IEEE/ACM Symposium on Edge Computing (SEC)},
title={Extend Cloud to Edge with KubeEdge},
year={2018},
volume={},
number={},
pages={373-377},
keywords={application program interfaces;cloud computing;distributed processing;meta data;protocols;virtual machines;KubeEdge architecture;network protocol stack;KubeBus;distributed metadata store;synchronization service;OSI network protocol layers;virtual network;unified multitenant communication infrastructure;sync service;remote edge nodes;edge computing environment;cloud architecture;centralized data centers;distributed edges;KubeEdge infrastructure;computing environments;network protocol infrastructure;runtime environment;cloud servers;cloud development model;cloud VM;cloud services;lightweight agent EdgeCore;fault tolerance;EdgeController component;Cloud computing;Synchronization;Protocols;Servers;Metadata;Computer architecture;Containers;Edge-Computing;Distributed-Systems;Cloud-Computing;Network-Protocol-and-Data-Synchronization},
doi={10.1109/SEC.2018.00048},
ISSN={},
month={Oct},}
@ARTICLE{8510842,
author={C. {Li} and H. G. {Tanner}},
journal={IEEE Transactions on Robotics},
title={Navigation Functions With Time-Varying Destination Manifolds in Star Worlds},
year={2019},
volume={35},
number={1},
pages={35-48},
keywords={collision avoidance;mobile robots;navigation;target tracking;time-varying systems;star worlds;navigation functions;obstacle modeling method;n-dimensional obstacles;time-varying destination manifolds;diffeomorphic transformations;sphere-world formulation;target tracking;Navigation;Robots;Vegetation;Harmonic analysis;Shape;Manifolds;Complexity theory;Dynamic environments;moving goal;navigation functions;target tracking},
doi={10.1109/TRO.2018.2875421},
ISSN={},
month={Feb},}
@ARTICLE{7513418,
author={Y. {Pu} and Z. {Yi} and J. {Zhou}},
journal={IEEE Transactions on Neural Networks and Learning Systems},
title={Fractional Hopfield Neural Networks: Fractional Dynamic Associative Recurrent Neural Networks},
year={2017},
volume={28},
number={10},
pages={2319-2333},
keywords={calculus;Hopfield neural nets;integer programming;Lyapunov matrix equations;mathematical programming;recurrent neural nets;fractional Hopfield Neural Networks;fractional dynamic associative recurrent neural networks;conceptual framework;FHNN;artificial neural networks;competitive advantages;integer-order neural networks;first-order Hopfield neural networks;fractional calculus;mathematical method;analog circuit;Lyapunov function;chip cloning attacks;fractional steepest descent approach;Lyapunov stability;fractional-order-stability;fractional-order-sensitivity characteristics;Fractional calculus;Biological neural networks;Analog circuits;Stability analysis;Circuit stability;Lyapunov methods;Defense against chip cloning attacks;fractional calculus;fractional Hopfield neural networks (FHNNs);fractional-order-sensitivity;fractional-order-stability},
doi={10.1109/TNNLS.2016.2582512},
ISSN={},
month={Oct},}
@ARTICLE{7762161,
author={H. {Wang} and L. {Wang} and Q. {Yu} and Z. {Zheng}},
journal={IEEE Transactions on Services Computing},
title={Learning the Evolution Regularities for BigService-Oriented Online Reliability Prediction},
year={2019},
volume={12},
number={3},
pages={398-411},
keywords={belief networks;Big Data;convolutional neural nets;learning (artificial intelligence);service-oriented architecture;software fault tolerance;software quality;systems engineering;time series;Web services;service fault tolerance;online reliability time series prediction;real-world Web services;BigService-oriented online reliability prediction;convolutional neural network;big data;system of systems engineering;SoS engineering;Big Service computing;service-oriented SoS;system as a service;run-time quality;decision-making;machine learning models;motifs-based dynamic Bayesian networks;one-step-ahead online reliability time series prediction;Reliability;Time series analysis;Web services;Computer network reliability;Meteorology;Big data;Quality of service;Temporal evolution regularities;online reliability prediction;big service;convolutional neural networks},
doi={10.1109/TSC.2016.2633264},
ISSN={},
month={May},}
@ARTICLE{8565895,
author={T. {de Freitas Pereira} and A. {Anjos} and S. {Marcel}},
journal={IEEE Transactions on Information Forensics and Security},
title={Heterogeneous Face Recognition Using Domain Specific Units},
year={2019},
volume={14},
number={7},
pages={1803-1816},
keywords={convolutional neural nets;face recognition;image matching;learning (artificial intelligence);visual spectra images;face images;thermal images;domain specific units;deep convolutional neural networks;heterogeneous face recognition;Face;Databases;Face recognition;Feature extraction;Protocols;Visualization;Image recognition;Face recognition;heterogeneous face recognition;reproducible research;domain adaptation;deep neural networks},
doi={10.1109/TIFS.2018.2885284},
ISSN={},
month={July},}
@ARTICLE{7398044,
author={C. R. F. {de Almeida} and L. {Weigang} and G. V. {Meinerz} and L. {Li}},
journal={IEEE Transactions on Intelligent Transportation Systems},
title={Satisficing Game Approach to Collaborative Decision Making Including Airport Management},
year={2016},
volume={17},
number={8},
pages={2262-2271},
keywords={air traffic control;airports;decision making;game theory;collaborative decision making;satisficing CDM model;airport management services;air traffic flow management;ATFM;flight takeoff operations;flight landing operations;air traffic control services;ATC services;satisficing game theory;preference function;rejectability function;selectability function;satisficing negotiation process;Sao Paulo;Airports;Stakeholders;Aircraft;Atmospheric modeling;Decision making;Delays;Games;Airport;air traffic flow management;collaborative decision making;intelligent system;satisficing game theory},
doi={10.1109/TITS.2016.2516444},
ISSN={},
month={Aug},}
@INPROCEEDINGS{8005354,
author={S. {Ma} and A. {Ilyushkin} and A. {Stegehuis} and A. {Iosup}},
booktitle={2017 IEEE International Conference on Autonomic Computing (ICAC)},
title={Ananke: A Q-Learning-Based Portfolio Scheduler for Complex Industrial Workflows},
year={2017},
volume={},
number={},
pages={227-232},
keywords={cloud computing;investment;learning (artificial intelligence);production control;production engineering computing;scheduling;workflow management software;synthetic industrial workloads;workflow task mapping;provisioning process;heuristics;scheduling policies;reinforcement-learning technique;data centers;scheduling system;diverse task groupings;periodic patterns;operational cost reduction;industrial infrastructure diagnosis;industrial infrastructure management;sensor data processing;complex industrial workflows;Q-learning-based portfolio scheduler;Ananke;Conferences;portfolio scheduling;resource management and scheduling;reinforcement learning},
doi={10.1109/ICAC.2017.21},
ISSN={},
month={July},}
@INPROCEEDINGS{7527876,
author={C. {Esteban} and V. {Tresp} and Y. {Yang} and S. {Baier} and D. {Krompaß}},
booktitle={2016 19th International Conference on Information Fusion (FUSION)},
title={Predicting the co-evolution of event and Knowledge Graphs},
year={2016},
volume={},
number={},
pages={98-105},
keywords={graph theory;knowledge representation;learning (artificial intelligence);tensors;event coevolution prediction;semantic knowledge graph;knowledge representation;embedding learning;representation learning;machine learning;tensor representation;Tensile stress;Brain modeling;Predictive models;Neural networks;Google;Data models;Lifting equipment},
doi={},
ISSN={},
month={July},}
@INPROCEEDINGS{8666883,
author={Q. {Tian} and Q. {Cao} and Q. {Sun}},
booktitle={2018 International Conference on Information Systems and Computer Aided Education (ICISCAE)},
title={Adapting Word Embeddings to Traceability Recovery},
year={2018},
volume={},
number={},
pages={255-261},
keywords={information retrieval;learning (artificial intelligence);software maintenance;text analysis;word embeddings;traceability links;vector space model;word semantic;traceability recovery tasks;out-of-vocabulary words;word embedding technique;machine learning method;information retrieval;Mathematical model;Semantics;Software;Task analysis;Machine learning;Information retrieval;Feature extraction;traceability;information retrieval;similarity},
doi={10.1109/ICISCAE.2018.8666883},
ISSN={},
month={July},}
@ARTICLE{8532141,
author={A. {Chowdhery} and K. {Jamieson}},
journal={IEEE/ACM Transactions on Networking},
title={Aerial Channel Prediction and User Scheduling in Mobile Drone Hotspots},
year={2018},
volume={26},
number={6},
pages={2679-2692},
keywords={cellular radio;control engineering computing;prediction theory;radiofrequency interference;radiowave propagation;remotely operated vehicles;telecommunication control;telecommunication scheduling;wireless channels;wireless LAN;user scheduling;mobile clients;constructive interference patterns;destructive interference patterns;line-of-sight path;propagation paths;aerial Wi-Fi channel;802.11n hotspot chipset;time-selective wireless channel;frequency-selective wireless channel;low-altitude mobile drone hotspots;subcarrier SNR prediction;aerial wireless channel prediction approach;scheduling approach;Drones;Wireless communication;Wireless sensor networks;Wireless fidelity;Trajectory;Throughput;OFDM;Communications technology;wireless communications;wireless networks},
doi={10.1109/TNET.2018.2878287},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8818398,
author={W. {Wang} and L. {Zhang} and D. {Guo} and S. {Wu} and H. {Cui} and F. {Bi}},
booktitle={2019 IEEE International Conference on Web Services (ICWS)},
title={Reg: An Ultra-Lightweight Container That Maximizes Memory Sharing and Minimizes the Runtime Environment},
year={2019},
volume={},
number={},
pages={76-82},
keywords={cloud computing;computer centres;operating systems (computers);storage management;virtualisation;container runtime environment;ultra-lightweight container management engine;runtime environment generation;Reg-based workflow;memory usage;container startup storm;data center;mainstream container technology;lightweight virtualization technology;data-sensitive applications;library file sharing model;ultra-lightweight container design;startup speed;mirror volume;cloudware;container;Cloudware;lightweight;runtime environment;resource sharing},
doi={10.1109/ICWS.2019.00024},
ISSN={},
month={July},}
@INPROCEEDINGS{8818301,
author={L. {Ye} and B. {Zhu} and C. {Hu} and L. {Zhang} and H. {Truong}},
booktitle={2019 IEEE International Conference on Web Services (ICWS)},
title={On-the-Fly Collaboration for Legacy Business Process Systems in an Open Service Environment},
year={2019},
volume={},
number={},
pages={393-397},
keywords={business data processing;groupware;Internet of Things;autonomous enterprises;business process collaboration;dynamic changes;legacy business process systems;open service environment;business assets;legacy business processes;L2L service framework;on-the-fly collaboration;open business;reactive IoT event messaging;coordinator-based collaborating;cross-enterprise collaboration;open environment;BPM;IoT;legacy systems},
doi={10.1109/ICWS.2019.00070},
ISSN={},
month={July},}
@INPROCEEDINGS{8102003,
author={P. {Berthier} and J. M. {Fernandez} and J. {Robert}},
booktitle={2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC)},
title={SAT : Security in the air using Tesla},
year={2017},
volume={},
number={},
pages={1-10},
keywords={aerospace computing;air traffic control;aircraft communication;collision avoidance;cryptographic protocols;message authentication;public key cryptography;satellite navigation;surveillance;synchronisation;telecommunication security;aircraft surveillance technology;US Next-Generation Air Transportation System initiative;satellite navigation;ground personnel;air traffic control services;backward-compatible replacement;TESLA broadcast authentication protocol;symmetric cryptography;asymmetric cryptography;synchronization mechanism;satellite time;public key infrastructure;air traffic control hierarchy;national civil aviation authorities;aircraft authentication;aircraft flight authorization;SAT protocol;shortest authentication delay;ADS-B;message authentication;automated dependent surveillance-broadcast;NextGen initiative;traffic awareness and collision avoidance;TCAS;ATC services;security problems;message integrity verification;transmission overheads;US;B;Aircraft;Aerospace control;Protocols;Cryptography;Authentication;Aircraft navigation},
doi={10.1109/DASC.2017.8102003},
ISSN={},
month={Sep.},}
@INPROCEEDINGS{7479734,
author={J. {Larson} and D. {Gebre-Egziabher}},
booktitle={2016 IEEE/ION Position, Location and Navigation Symposium (PLANS)},
title={Analysis and utilization of extreme value theory for conservative overbounding},
year={2016},
volume={},
number={},
pages={462-471},
keywords={linear systems;maximum likelihood estimation;Monte Carlo methods;extreme value theory;EVT estimation;maximum likelihood estimator;MLE;conservative overbounding;linear system;Monte Carlo simulations;Maximum likelihood estimation;Sensors;Navigation;Uncertainty;Random variables;Distribution functions;Overbounding;extreme value theory;certification},
doi={10.1109/PLANS.2016.7479734},
ISSN={},
month={April},}
@ARTICLE{7577870,
author={Y. {Zheng} and W. {Sheng} and X. {Sun} and S. {Chen}},
journal={IEEE Transactions on Neural Networks and Learning Systems},
title={Airline Passenger Profiling Based on Fuzzy Deep Machine Learning},
year={2017},
volume={28},
number={12},
pages={2911-2923},
keywords={Boltzmann machines;evolutionary computation;fuzzy set theory;learning (artificial intelligence);neural nets;pattern classification;travel industry;evolutionary algorithm;PFDBM;deep neural network;gradient-based method;Pythagorean fuzzy numbers;Pythagorean fuzzy deep Boltzmann machine;electronic records;commercial aviation security;fuzzy deep machine learning;airline passenger profiling;classification accuracy;Terrorism;Machine learning;Inspection;Atmospheric modeling;Fuzzy sets;Airports;Biogeography-based optimization (BBO);deep Boltzmann machine (DBM);deep learning;evolutionary neural networks;passenger profiling;pythagorean fuzzy set (PFS)},
doi={10.1109/TNNLS.2016.2609437},
ISSN={},
month={Dec},}
@INPROCEEDINGS{7113338,
author={M. {Sahli} and E. {Mansour} and T. {Alturkestani} and P. {Kalnis}},
booktitle={2015 IEEE 31st International Conference on Data Engineering},
title={Automatic tuning of bag-of-tasks applications},
year={2015},
volume={},
number={},
pages={843-854},
keywords={application program interfaces;C++ language;resource allocation;task analysis;resource utilisation optimisation;C++ API;task execution time variability;bag-of-tasks applications;CPU;user specific constraint;APlug;automatic tuning;Parallel processing;Tuning;Bioinformatics;Resource management;Supercomputers;Time-frequency analysis;Lead},
doi={10.1109/ICDE.2015.7113338},
ISSN={},
month={April},}
@ARTICLE{6748094,
author={C. {Wu} and Z. {Yang} and Y. {Xu} and Y. {Zhao} and Y. {Liu}},
journal={IEEE Transactions on Parallel and Distributed Systems},
title={Human Mobility Enhances Global Positioning Accuracy for Mobile Phone Localization},
year={2015},
volume={26},
number={1},
pages={131-141},
keywords={Global Positioning System;mobility management (mobile radio);smart phones;human mobility;mobile phone localization;global positioning system;smart phone enabled dead reckoning;GloCal;crowded urban area;spacious suburban areas;Global Positioning System;Mobile handsets;Trajectory;Accuracy;Dead reckoning;Sensor phenomena and characterization;GPS;mobile phone localization;human mobility},
doi={10.1109/TPDS.2014.2308225},
ISSN={},
month={Jan},}
@INPROCEEDINGS{8754197,
author={R. {Matsumoto} and U. {Kondo} and K. {Kuribayashi}},
booktitle={2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)},
title={FastContainer: A Homeostatic System Architecture High-Speed Adapting Execution Environment Changes},
year={2019},
volume={1},
number={},
pages={270-275},
keywords={cloud computing;Internet;multi-access systems;resource allocation;virtualisation;access congestion;resource utilization efficiency;price reduction;cloud computing;resource management;load balancing;container virtualization technology;multitenant user environments;homeostatic system architecture;high-speed adapting execution environment changes;Web hosting services;HTTP requests;access frequency;FastContainer;Containers;Cloud computing;Servers;Computer architecture;Virtual machining;Resource management;Libraries;Container;Cloud;Auto scaling;Multi tenancy;Operation technology},
doi={10.1109/COMPSAC.2019.00047},
ISSN={},
month={Jul},}
@ARTICLE{8700140,
author={H. {Lu} and Y. {Gui} and X. {Jiang} and F. {Wu} and C. W. {Chen}},
journal={IEEE Wireless Communications},
title={Compressed Robust Transmission for Remote Sensing Services in Space Information Networks},
year={2019},
volume={26},
number={2},
pages={46-54},
keywords={autonomous aerial vehicles;compressed sensing;remote sensing;resource allocation;road traffic;space communication links;telecommunication traffic;wireless channels;space information networks;space platforms;robust transmission-based SoftCast;resource allocation;ComCast scheme;time-varying space environment;resource-limited space environment;heterogeneous space environments;downlink image-video;power scaled samples;road traffic analysis;live broadcast;geographical photography;on-demand videos;on-demand images;UAV;remote sensing services;compressed robust transmission;robust wireless transmission;Remote sensing;Small satellites;Bandwidth;Satellite broadcasting;Real-time systems;Quality of service},
doi={10.1109/MWC.2019.1800298},
ISSN={},
month={April},}
@INPROCEEDINGS{8167137,
author={M. A. A. {Mamun} and J. A. {Puspo} and A. K. {Das}},
booktitle={2017 International Conference on Electrical Engineering and Computer Science (ICECOS)},
title={An intelligent smartphone based approach using IoT for ensuring safe driving},
year={2017},
volume={},
number={},
pages={217-223},
keywords={Android (operating system);cloud computing;Internet of Things;mobile computing;pattern clustering;road accidents;road safety;road traffic;road vehicles;smart phones;road anomalies;accident prone area;road accident;Android based application;k-means clustering;driving safety;intelligent smartphone;IoT-Fog server;data collection;Google map;cloud storage;Roads;Accidents;Accelerometers;Clustering algorithms;Sensors;Cloud computing;Real-time systems;Smartphone;IoT;Fog;Cloud;K-means clustering;Bumps/speed-breaker},
doi={10.1109/ICECOS.2017.8167137},
ISSN={},
month={Aug},}
@ARTICLE{8542653,
author={H. {Yang} and Q. {Zhou} and M. {Yao} and R. {Lu} and H. {Li} and X. {Zhang}},
journal={IEEE Internet of Things Journal},
title={A Practical and Compatible Cryptographic Solution to ADS-B Security},
year={2019},
volume={6},
number={2},
pages={3322-3334},
keywords={air traffic;aircraft communication;airports;cryptography;message authentication;protocols;transportation;wireless sensor networks;wireless broadcast networks;OpenSky;current ADS-B standards;message authentication;data encryption;security mechanisms;precise geographic positions;automatic dependent surveillance-broadcast;next-generation air transportation systems;flight data;ADS-B messages;air traffic-monitoring scenario;cryptographic primitives;ADS-B security;Aircraft;Cryptography;Atmospheric modeling;Surveillance;Privacy;Protocols;Air traffic control;automatic dependent surveillance-broadcast (ADS-B) communication;compatibility;privacy;security},
doi={10.1109/JIOT.2018.2882633},
ISSN={},
month={April},}
@ARTICLE{8758823,
author={I. {Lera} and C. {Guerrero} and C. {Juiz}},
journal={IEEE Access},
title={YAFS: A Simulator for IoT Scenarios in Fog Computing},
year={2019},
volume={7},
number={},
pages={91745-91758},
keywords={cloud computing;complex networks;Internet of Things;network theory (graphs);resource allocation;dynamic allocation;IoT scenarios;intermediate network devices;fog computing simulator;complex network theory;edge devices;service allocation;cloud computing;Yet Another Fog Simulator;YAFS;Relays;Large scale integration;Wireless communication;OFDM;Interference cancellation;Channel estimation;Real-time systems;Complex networks;fog computing;Internet of Things;simulator},
doi={10.1109/ACCESS.2019.2927895},
ISSN={},
month={},}
@ARTICLE{8411465,
author={A. A. {Khuwaja} and Y. {Chen} and N. {Zhao} and M. {Alouini} and P. {Dobbins}},
journal={IEEE Communications Surveys Tutorials},
title={A Survey of Channel Modeling for UAV Communications},
year={2018},
volume={20},
number={4},
pages={2804-2821},
keywords={aerospace components;autonomous aerial vehicles;wireless channels;UAV channels;nonstationary channels;size rotary UAVs;low altitude platforms;UAV channel modeling approaches;unmanned aerial vehicles;civil applications;military applications;distinctive channel characteristics;widely used cellular satellite systems;UAV communication;channel characterization efforts;channel characterization;Frequency measurement;Fading channels;Antenna measurements;Narrowband;Tutorials;Atmospheric modeling;Aerodynamics;Channel characterization;channel models;measurement campaigns;UAV communication},
doi={10.1109/COMST.2018.2856587},
ISSN={},
month={Fourthquarter},}
@INPROCEEDINGS{8022706,
author={S. {Jinbo} and B. A. {Alghazawy} and S. {Fujita}},
booktitle={2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)},
title={Batch-based flash crowd relaxation in cloud-assisted P2P live streaming},
year={2017},
volume={},
number={},
pages={95-100},
keywords={cloud computing;peer-to-peer computing;batch-based flash crowd relaxation;cloud-assisted P2P live streaming systems;batch-based method;concrete overlay structure;multiple-spanning-tree;resource utilization;Cloud computing;Peer-to-peer computing;Logic gates;Joining processes;Streaming media;Load modeling;Concrete;P2P live streaming;cloud-assisted;flash crowd},
doi={10.1109/SNPD.2017.8022706},
ISSN={},
month={June},}
@INPROCEEDINGS{8022753,
author={S. {Jinbo} and B. A. {Alghazawy} and S. {Fujita}},
booktitle={2017 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)},
title={Batch-based flash crowd relaxation in cloud-assisted P2P live streaming},
year={2017},
volume={},
number={},
pages={401-406},
keywords={Cloud computing;Peer-to-peer computing;Logic gates;Joining processes;Streaming media;Load modeling;Concrete;P2P live streaming;cloud-assisted;flash crowd},
doi={10.1109/SNPD.2017.8022753},
ISSN={},
month={June},}
@ARTICLE{8710357,
author={J. {Zhang} and T. {Chen} and S. {Zhong} and J. {Wang} and W. {Zhang} and X. {Zuo} and R. G. {Maunder} and L. {Hanzo}},
journal={Proceedings of the IEEE},
title={Aeronautical $Ad~Hoc$ Networking for the Internet-Above-the-Clouds},
year={2019},
volume={107},
number={5},
pages={868-911},
keywords={aerospace industry;aircraft communication;broadband networks;Internet;mobility management (mobile radio);radiofrequency interference;telecommunication network routing;telecommunication scheduling;telecommunication security;telecommunication traffic;vehicular ad hoc networks;wireless channels;aeronautical ad hoc networking;compelling concept;air-to-ground networks;oceanic airspace;remote airspace;self-configured wireless networking;commercial passenger airplanes;AANET concept;mobile ad hoc networks;stricter security requirements;aircraft mobility modeling;aeronautical channel modeling;network scheduling;routing;AANET solutions;mobility models;air traffic;future aircraft industry;Internet-above-the-clouds;smart sky;in-flight entertainment;broadband communications;variable geographical network size;MANET;interference mitigation;Aircraft;Ad hoc networks;Satellite broadcasting;Mobile computing;Aerospace engineering;Internet of Things;Aircraft propulsion;Cloud computing;Satellite communication;Aeronautical ad hoc network (AANET);air-to-air (A2A) communication;air-to-ground (A2G) communication;air-to-satellite (A2S) communication;flying ad hoc network (FANET);network topology;networking protocol},
doi={10.1109/JPROC.2019.2909694},
ISSN={},
month={May},}
@INPROCEEDINGS{7832600,
author={S. D. {Campbell} and S. {Appadwedula} and B. {O'Connor} and M. {Rebholz}},
booktitle={2016 IEEE International Symposium on Phased Array Systems and Technology (PAST)},
title={Small airport surveillance sensor (SASS)},
year={2016},
volume={},
number={},
pages={1-8},
keywords={airports;direction-of-arrival estimation;search radar;aircraft transponder technology;all-weather surveillance;master processing unit;direction of arrival;DOA;GPS-synced clocks;time of arrival;TOA;WiFi;Hanscom Field;Bedford;towered airports;ASDE-X radar surveillance;visual surveillance;tower controllers;multiple-antenna sites;geolocation system;SASS;small airport surveillance sensor;Airports;Transponders;Aircraft;Surveillance;Antenna arrays;Antenna measurements;Array signal processing;phased array;geolocation;direction of arrival;secondary surveillance;air traffic control tower},
doi={10.1109/ARRAY.2016.7832600},
ISSN={},
month={Oct},}
@INPROCEEDINGS{8455535,
author={I. {Schlangen} and C. {Degen} and A. {Charlish}},
booktitle={2018 21st International Conference on Information Fusion (FUSION)},
title={Distinguishing Wanted and Unwanted Targets Using Point Processes},
year={2018},
volume={},
number={},
pages={1445-1452},
keywords={filtering theory;Gaussian processes;probability;radar clutter;target tracking;radar measurements;sea surface;false measurements;mathematical model;Panjer Probability Hypothesis Density filter;temporal correlation;sea clutter;maritime surveillance;Gaussian-mixture implementation;Sociology;Mathematical model;Clutter;Correlation;Target tracking;Random variables},
doi={10.23919/ICIF.2018.8455535},
ISSN={},
month={July},}
@INPROCEEDINGS{8741970,
author={M. {Ezuma} and F. {Erden} and C. K. {Anjinappa} and O. {Ozdemir} and I. {Guvenc}},
booktitle={2019 IEEE Aerospace Conference},
title={Micro-UAV Detection and Classification from RF Fingerprints Using Machine Learning Techniques},
year={2019},
volume={},
number={},
pages={1-13},
keywords={Feature extraction;Time-domain analysis;Transient analysis;Radar cross-sections;Frequency modulation;Radio frequency},
doi={10.1109/AERO.2019.8741970},
ISSN={},
month={March},}
@INPROCEEDINGS{7527950,
author={I. {Schlangen} and E. {Delande} and J. {Houssineau} and D. E. {Clark}},
booktitle={2016 19th International Conference on Information Fusion (FUSION)},
title={A PHD filter with negative binomial clutter},
year={2016},
volume={},
number={},
pages={658-665},
keywords={binomial distribution;estimation theory;filtering theory;Gaussian processes;mixture models;Poisson distribution;probability hypothesis density;PHD filter;negative binomial distribution;multiobject estimation;Poisson distribution;Gaussian mixture;GM;Clutter;Niobium;Graphical models;Distribution functions;Mathematical model;Sociology;Statistics},
doi={},
ISSN={},
month={July},}
@INPROCEEDINGS{7881617,
author={W. {Tärneberg} and V. {Chandrasekaran} and M. {Humphrey}},
booktitle={2016 IEEE/ACM 9th International Conference on Utility and Cloud Computing (UCC)},
title={Experiences Creating a Framework for Smart Traffic Control Using AWS IOT},
year={2016},
volume={},
number={},
pages={63-69},
keywords={cloud computing;intelligent transportation systems;Internet of Things;public transport;Web services;smart traffic control;AWS IOT;cloud-based IoT infrastructure;public cloud;Amazon Web services;dynamic vehicle traffic control;public transport punctuality;vehicle volumes;vehicle patterns;Cloud;AWS;IoT;PaaS;Public transport;Tra c;Traffic Signal Priority;Smart Cities;Connected vehicles;Automatic control;Data collection;Data analysis},
doi={},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8576480,
author={J. {Katoen}},
booktitle={2016 31st Annual ACM/IEEE Symposium on Logic in Computer Science (LICS)},
title={The Probabilistic Model Checking Landscape*},
year={2016},
volume={},
number={},
pages={1-15},
keywords={distributed processing;formal verification;probability;randomized algorithms;probabilistic verification;algorithmic verification;randomization;probabilistic model checking;distributed computing;sequential computing;Probabilistic logic;Markov processes;Automata;Model checking;Clocks;Exponential distribution;abstraction;applications;fault trees;Markov chains;Markov decision processes;model checking;parameter synthesis;probabilistic logics},
doi={},
ISSN={},
month={July},}
@ARTICLE{8533367,
author={H. {Inaltekin} and M. {Gorlatova} and M. {Chiang}},
journal={IEEE Internet of Things Journal},
title={Virtualized Control Over Fog: Interplay Between Reliability and Latency},
year={2018},
volume={5},
number={6},
pages={5030-5045},
keywords={Edge computing;Cloud computing;Drones;Computer architecture;Software reliability;Control systems;Control;distributed systems;fog computing;Internet of Things (IoT);latency;reliability},
doi={10.1109/JIOT.2018.2881202},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8560900,
author={J. W. {Wallace} and S. J. {Kambouris} and R. d. {Courcy} and J. {Haskins}},
booktitle={2017 International Conference on Computational Science and Computational Intelligence (CSCI)},
title={Cloud-Based Intelligent Vehicle Navigation and Control},
year={2017},
volume={},
number={},
pages={817-822},
keywords={cloud computing;intelligent control;intelligent transportation systems;kinematics;learning (artificial intelligence);navigation;real-time systems;road vehicles;cloud-based intelligent vehicle navigation;machine learning algorithms;execution framework;ground vehicle prototype;artificial intelligence;cloud-based intelligent vehicle control;cloud computing system development platform;real-time kinematics;artificial intelligence;cloud computing;mobility-as-a-service;vehicle control;systems integration;robotics;interoperability},
doi={10.1109/CSCI.2017.141},
ISSN={},
month={Dec},}
@ARTICLE{8481505,
author={T. {Kacem} and D. {Wijesekera} and P. {Costa}},
journal={IEEE Transactions on Intelligent Vehicles},
title={ADS-Bsec: A Holistic Framework to Secure ADS-B},
year={2018},
volume={3},
number={4},
pages={511-521},
keywords={air traffic control;telecommunication security;ADS-Bsec;holistic framework;attackers;ADS-B messages;message format;radio-location;automatic dependent surveillance broadcast;key exchange mechanism;ADS-B;air traffic surveillance technologies;Aircraft;Intelligent vehicles;Surveillance;Radar;Cryptography;Air traffic control;Safety and security;system design;modeling;and deployment;transportation systems engineering;intelligent transportation systems;multi-sensor data fusion},
doi={10.1109/TIV.2018.2873911},
ISSN={},
month={Dec},}
@ARTICLE{8758310,
author={L. {Lin} and X. {Liao} and H. {Jin} and P. {Li}},
journal={Proceedings of the IEEE},
title={Computation Offloading Toward Edge Computing},
year={2019},
volume={107},
number={8},
pages={1584-1607},
keywords={distributed processing;resource allocation;software architecture;software maintenance;computation offloading;edge computing;quality of experience;architecture refactoring;resource management;task allocation;distributed execution;Backscatter;Wireless communication;Throughput;Radio frequency;Edge computing;Resource management;Energy harvesting;Internet of Things;Cloud computing;Computation offloading;edge computing;Internet of Things (IoT);mobile cloud computing (MCC);mobile edge computing (MEC)},
doi={10.1109/JPROC.2019.2922285},
ISSN={},
month={Aug},}
@INPROCEEDINGS{7829974,
author={D. {Chen} and L. {Wang} and J. {Liu} and J. {Jin}},
booktitle={2016 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA)},
title={Analysis on ambient temperature effects on piezoelectric actuated tracked mobile system},
year={2016},
volume={},
number={},
pages={140-144},
keywords={finite element analysis;force measurement;force sensors;friction;piezoelectric actuators;piezoelectric transducers;temperature measurement;temperature sensors;thermal stresses;ambient temperature effect;piezoelectric actuated tracked mobile system;thermal adaptability;finite element method;Coulomb friction law;temperature-dependent material mechanical property;thermal stress;vibration amplitude;resonant frequency;piezoelectric transducer;traction force calculation;contact interface;temperature experimental system;optimization;Temperature;Mobile communication;Force;Finite element analysis;Acoustics;Piezoelectric transducers;Temperature measurement;Ambient temperature;Contact model;Characteristics;Piezoelectric actuated tracked mobile system},
doi={10.1109/SPAWDA.2016.7829974},
ISSN={},
month={Oct},}
@INPROCEEDINGS{8516597,
author={D. {Huru} and C. {Leordeanu} and E. {Apostol} and V. {Cristea}},
booktitle={2018 IEEE 14th International Conference on Intelligent Computer Communication and Processing (ICCP)},
title={BigClue: Towards a generic IoT cross-domain data processing platform},
year={2018},
volume={},
number={},
pages={427-434},
keywords={cloud computing;data analysis;Internet of Things;open systems;nonfunctional requirements;cloud based data processing architecture;multiple IoT sensor networks;global platforms;unified network;global IoT vision;interoperability;standardization;generic IoT cross-domain data processing platform;Real-time systems;Data processing;Cognition;Computer architecture;Monitoring;Cloud computing;Middleware;IoT;data processing;cross-domain platform;big data;cloud computing},
doi={10.1109/ICCP.2018.8516597},
ISSN={},
month={Sep.},}
@ARTICLE{8703380,
author={R. {Ullah} and M. A. U. {Rehman} and B. {Kim}},
journal={IEEE Access},
title={Design and Implementation of an Open Source Framework and Prototype For Named Data Networking-Based Edge Cloud Computing System},
year={2019},
volume={7},
number={},
pages={57741-57759},
keywords={cloud computing;computer network security;Internet of Things;telecommunication traffic;information response time;edge node application;cloud node application;query lookup time;edge cloud computing system;Internet of Things devices;end devices;n-tier architecture;named data networking;open source framework;IoT devices;load-based lookup time;service lookup time;NDN-based ECC framework;Microsoft Azure Cloud machine;edge computing;Cloud computing;Edge computing;Servers;Internet of Things;Real-time systems;Task analysis;Mobile handsets;Internet of things;edge computing;fog computing;distributed computing;caching;named data networking;framework;offloading;latency;scalability;multi-access edge computing;future Internet},
doi={10.1109/ACCESS.2019.2914067},
ISSN={},
month={},}
@INPROCEEDINGS{7145301,
author={V. {Sourlas} and L. {Tassiulas} and I. {Psaras} and G. {Pavlou}},
booktitle={2015 IFIP Networking Conference (IFIP Networking)},
title={Information resilience through user-assisted caching in disruptive Content-Centric Networks},
year={2015},
volume={},
number={},
pages={1-9},
keywords={cache storage;content-based retrieval;information resilience;user-assisted caching;disruptive content-centric network;CCN architecture;cached content retrieval;resilience scheme;Resilience;Absorption;Servers;Markov processes;Indexes;Internet;Hurricanes;Content-Centric Networks;in-network caching;disaster scenarios;Markov processes},
doi={10.1109/IFIPNetworking.2015.7145301},
ISSN={},
month={May},}
@ARTICLE{7089262,
author={T. {Liu} and Y. {Liu} and L. {Yang} and Y. {Guo} and C. {Wang}},
journal={IEEE Transactions on Mobile Computing},
title={BackPos: High Accuracy Backscatter Positioning System},
year={2016},
volume={15},
number={3},
pages={586-598},
keywords={backscatter;radiofrequency identification;radionavigation;triangle constraint;hyperbolic positioning;fine-grained backscatter positioning technique;wireless network;RFID technology;radio frequency identification;high accuracy backscatter positioning system;BackPos;Antennas;Radiofrequency identification;Backscatter;Mobile computing;Antenna measurements;Accuracy;Arrays;RFID;hyperbolic positioning;BackPos;feasible region;RFID;hyperbolic positioning;BackPos;feasible region},
doi={10.1109/TMC.2015.2424437},
ISSN={},
month={March},}
@ARTICLE{8709739,
author={W. {Khawaja} and I. {Guvenc} and D. W. {Matolak} and U. {Fiebig} and N. {Schneckenburger}},
journal={IEEE Communications Surveys Tutorials},
title={A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned Aerial Vehicles},
year={2019},
volume={21},
number={3},
pages={2361-2391},
keywords={aircraft communication;autonomous aerial vehicles;radiowave propagation;wireless channels;large scale fading channel;small scale fading channel;AG channel measurement;control transmissions;payload data transmissions;5G wireless technology;UAVs;unmanned aerial vehicles;air-to-ground propagation channel modeling;Atmospheric modeling;Channel models;Loss measurement;Unmanned aerial vehicles;Fading channels;Frequency measurement;L-band;Air-to-ground (AG);channel measurement;channel modeling;drone;large and small scale fading;sounding;unmanned aerial vehicle (UAV)},
doi={10.1109/COMST.2019.2915069},
ISSN={},
month={thirdquarter},}
@INPROCEEDINGS{7926557,
author={A. R. {Wagoner} and D. K. {Schrader} and E. T. {Matson}},
booktitle={2017 First IEEE International Conference on Robotic Computing (IRC)},
title={Survey on Detection and Tracking of UAVs Using Computer Vision},
year={2017},
volume={},
number={},
pages={320-325},
keywords={aerospace control;autonomous aerial vehicles;mobile robots;robot vision;telerobotics;computer vision;UAV;detection;small unmanned aerial vehicles;track small UAV;Feature extraction;Computer vision;Hidden Markov models;Cameras;Shape;Object detection;Target tracking},
doi={10.1109/IRC.2017.15},
ISSN={},
month={April},}
@INPROCEEDINGS{8023143,
author={R. {Guerraoui} and A. {Kermarrec} and R. {Patra} and M. {Valiyev} and J. {Wang}},
booktitle={2017 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)},
title={I Know Nothing about You But Here is What You Might Like},
year={2017},
volume={},
number={},
pages={439-450},
keywords={collaborative filtering;cryptographic protocols;data privacy;recommender systems;collaborative filtering schemes;user profile encryption;service provider;recommendation quality;X-REC recommender;user-level privacy;system-level privacy;X-HE encryption scheme;X-NN neighborhood selection protocol;uniform sampling;differential privacy;Privacy;Servers;Encryption;Data privacy;Computer architecture;Prediction algorithms;Privacy;Recommender Systems},
doi={10.1109/DSN.2017.22},
ISSN={},
month={June},}
@INPROCEEDINGS{7985645,
author={J. {Guo} and J. {Cheng} and J. {Cleland-Huang}},
booktitle={2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE)},
title={Semantically Enhanced Software Traceability Using Deep Learning Techniques},
year={2017},
volume={},
number={},
pages={3-14},
keywords={information retrieval;knowledge representation;learning (artificial intelligence);program diagnostics;program testing;programming language semantics;recurrent neural nets;safety-critical software;source code (software);vectors;semantically enhanced software traceability;deep learning techniques;safety-critical domains;source code;test cases;information retrieval technique;machine learning technique;trace link generation;requirements artifact semantics;domain knowledge;tracing network architecture;word embedding model;recurrent neural network model;word vectors;knowledge representation;domain corpus;sentence semantics;requirements artifacts;positive train control domain;bidirectional gated recurrent unit;BI-GRU;vector space model;latent semantic indexing;Semantics;Machine learning;Recurrent neural networks;Standards;Training;Natural language processing;Software;Traceability;Deep Learning;Recurrent Neural Network;Semantic Representation},
doi={10.1109/ICSE.2017.9},
ISSN={},
month={May},}
@INPROCEEDINGS{7119159,
author={H. {Reyes} and N. {Gellerman} and N. {Kaabouch}},
booktitle={2015 IEEE Aerospace Conference},
title={A cognitive radio system for improving the reliability and security of UAS/UAV networks},
year={2015},
volume={},
number={},
pages={1-9},
keywords={aircraft communication;autonomous aerial vehicles;cognitive radio;frequency agility;jamming;radio links;telecommunication network reliability;telecommunication security;cognitive radio system;UAS-UAV network security;UAS-UAV network reliability improvement;unmanned aerial system;unmanned aerial vehicles network;data reception;link loss;radio spectrum;frequency agile;aircraft wireless communication;Reliability;Jamming;Resource management;Radio transmitters;Quality of service;UAV;UAS;Cognitive Radio;Wireless Communication;Reliability;Jamming;Lost Link},
doi={10.1109/AERO.2015.7119159},
ISSN={},
month={March},}
@INPROCEEDINGS{8602994,
author={J. {Backes} and P. {Bolignano} and B. {Cook} and C. {Dodge} and A. {Gacek} and K. {Luckow} and N. {Rungta} and O. {Tkachuk} and C. {Varming}},
booktitle={2018 Formal Methods in Computer Aided Design (FMCAD)},
title={Semantic-based Automated Reasoning for AWS Access Policies using SMT},
year={2018},
volume={},
number={},
pages={1-9},
keywords={authorisation;cloud computing;inference mechanisms;program verification;reasoning about programs;Web services;AWS access policies;SMT;cloud computing;on-demand access;Amazon Web Services policy language;access control policies;semantic-based automated reasoning;Internet;IT resources;ZELKOVA;policy properties verification;Access control;Tools;Syntactics;Encoding;Semantics;Cloud computing},
doi={10.23919/FMCAD.2018.8602994},
ISSN={},
month={Oct},}
@ARTICLE{8862857,
author={G. {Darzanos} and I. {Koutsopoulos} and G. D. {Stamoulis}},
journal={IEEE/ACM Transactions on Networking},
title={Cloud Federations: Economics, Games and Benefits},
year={2019},
volume={27},
number={5},
pages={2111-2124},
keywords={Cloud computing;Task analysis;Quality of service;Biological system modeling;Economics;Games;Cloud federation;cloud economics;games;sharing economy;computational capacity;shapley value},
doi={10.1109/TNET.2019.2943810},
ISSN={},
month={Oct},}
@INPROCEEDINGS{8835510,
author={M. E. {Davis}},
booktitle={2019 IEEE Radar Conference (RadarConf)},
title={Ultra Wide Band Surveillance Radar},
year={2019},
volume={},
number={},
pages={1-175},
keywords={Ultra wideband radar;Surveillance;Synthetic aperture radar;History;Ground penetrating radar;Radar applications;Tutorials},
doi={10.1109/RADAR.2019.8835510},
ISSN={},
month={April},}
@BOOK{8186859,
author={R. {Madhavan} and G. {Ramalingam} and K. {Vaswani}},
booktitle={A Framework For Efficient Modular Heap Analysis},
title={A Framework For Efficient Modular Heap Analysis},
year={2015},
volume={},
number={},
pages={},
keywords={Design and Analysis of Algorithms;Verification},
doi={},
ISSN={},
publisher={now},
isbn={},
url={https://ieeexplore.ieee.org/document/8186859},}
@INPROCEEDINGS{8691951,
author={N. {Materne} and M. {Inoue}},
booktitle={2018 IEEE Region Ten Symposium (Tensymp)},
title={Potential of IoT System and Cloud Services for Predicting Agricultural Pests and Diseases},
year={2018},
volume={},
number={},
pages={298-299},
keywords={agriculture;cloud computing;Internet of Things;learning (artificial intelligence);pattern classification;plant diseases;regression analysis;Amazon Machine Learning cloud-based services;logistic regression algorithm;cloud services;agricultural pests;agricultural disease forecasting;IoT farmland monitoring system;IoT;cloud services;machine learning;agricultural pests and diseases},
doi={10.1109/TENCONSpring.2018.8691951},
ISSN={},
month={July},}
@INPROCEEDINGS{8060367,
author={M. {Wu} and H. {Zeng} and C. {Wang} and H. {Yu}},
booktitle={2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC)},
title={INVITED: Safety guard: Runtime enforcement for safety-critical cyber-physical systems},
year={2017},
volume={},
number={},
pages={1-6},
keywords={control engineering computing;safety;safety-critical software;security of data;original system;safety properties;safety guard;runtime enforcement;safety-critical cyber-physical systems;security attacks;real-world system failures;public-safety implications;critical CPS;runtime enforcers;safety guards;Safety;Brakes;Security;Runtime;Engines;Cyber-physical systems;Safety and security;reactive synthesis;runtime enforcement;software synthesis;real-time schedulability},
doi={10.1145/3061639.3072957},
ISSN={},
month={June},}
@ARTICLE{8491289,
author={Z. {Xu} and L. {Chao} and X. {Peng}},
journal={IEEE Internet of Things Journal},
title={T-REST: An Open-Enabled Architectural Style for the Internet of Things},
year={2019},
volume={6},
number={3},
pages={4019-4034},
keywords={Internet of Things;mobile computing;open systems;software architecture;time series;Web services;representational state transfer architectural style;open-enabled architectural style;edge computing;IoT devices results;heterogeneous ecosystem;T-REST engine;Internet of Things-representational state transfer;Internet of Things;Computer architecture;Ecosystems;Task analysis;Cloud computing;Runtime;Protocols;Computing offloading;edge computing;reusable remote evaluation (REV);representational state transfer (REST) principles;software architectural style},
doi={10.1109/JIOT.2018.2875912},
ISSN={},
month={June},}
@ARTICLE{7393756,
author={J. E. {Stailey} and K. D. {Hondl}},
journal={Proceedings of the IEEE},
title={Multifunction Phased Array Radar for Aircraft and Weather Surveillance},
year={2016},
volume={104},
number={3},
pages={649-659},
keywords={meteorological radar;remote sensing by radar;search radar;multifunction phased array radar;weather surveillance;aircraft surveillance;weather radar;United States of America;phased array radar network;Federal Aviation Administration;National Atmospheric and Oceanic Administration;MPAR risk reduction;radar timeline;dual polarization capability;Meteorological radar;Meteorology;Surveillance;Phased arrays;Airborne radar;Surveillance;Aircraft surveillance;cylindrical array;dual polarization;multifunction phased array radar (MPAR);polarimetric;slot-dipole;weather radar;Aircraft surveillance;cylindrical array;dual polarization;multifunction phased array radar (MPAR);polarimetric;slot-dipole;weather radar},
doi={10.1109/JPROC.2015.2491179},
ISSN={},
month={March},}
@INPROCEEDINGS{8569346,
author={T. {Kravaris} and C. {Spatharis} and K. {Blekas} and G. A. {Vouros} and J. M. {Cordero Garcia}},
booktitle={2018 IEEE/AIAA 37th Digital Avionics Systems Conference (DASC)},
title={Multiagent Reinforcement Learning Methods for Resolving Demand - Capacity Imbalances},
year={2018},
volume={},
number={},
pages={1-10},
keywords={aerospace computing;air traffic;decision theory;learning (artificial intelligence);Markov processes;multi-agent systems;multiagent Markov Decision Process;flight ground delays;demand-capacity balance process;demand -capacity imbalances;ATM;Air Traffic Management domain;autonomous agents;multiagent reinforcement learning methods;Trajectory;Delays;Aircraft;Air traffic control;Schedules;Demand-Capacity Problem;Multi-agent system;Reinforcement Learning},
doi={10.1109/DASC.2018.8569346},
ISSN={},
month={Sep.},}
@INPROCEEDINGS{7176036,
author={R. {Mancuso} and R. {Pellizzoni} and M. {Caccamo} and L. {Sha} and H. {Yun}},
booktitle={2015 27th Euromicro Conference on Real-Time Systems},
title={WCET(m) Estimation in Multi-core Systems Using Single Core Equivalence},
year={2015},
volume={},
number={},
pages={174-183},
keywords={resource allocation;shared memory systems;software reusability;multi-core systems using single core equivalence;software engineering processes;schedulability analysis methodologies;existing software reuse;commercial architectures;OS-level techniques;single core equivalence technology;single-core chips;industrial engineering processes;inter-core timing interference;IO channels;memory subsystem;resource sharing;computational capabilities;multicore platforms;WCET estimation;Random access memory;Multicore processing;Bandwidth;Software;Delays;Resource management;Hardware},
doi={10.1109/ECRTS.2015.23},
ISSN={},
month={July},}
@ARTICLE{8436080,
author={B. {Power} and J. {Weinman}},
journal={IEEE Cloud Computing},
title={Revenue Growth is the Primary Benefit of the Cloud},
year={2018},
volume={5},
number={4},
pages={89-94},
keywords={cloud computing;cost reduction;customer relationship management;microeconomics;big data;artificial intelligence;Internet of Things;blockchain;customer interactions;cloud computing;customer value;revenue growth;cost savings;customer relationships;Cloud computing;Technological innovation;Companies;Acceleration;Tools;Economics;cloud computing;saas;iaas;IoT},
doi={10.1109/MCC.2018.043221018},
ISSN={},
month={Jul},}
@INPROCEEDINGS{8373477,
author={N. A. {Baine} and R. A. {Gross}},
booktitle={2018 IEEE/ION Position, Location and Navigation Symposium (PLANS)},
title={Algorithm for geodetic positioning based on angle-of-arrival of automatic dependent surveillance-broadcasts},
year={2018},
volume={},
number={},
pages={990-1001},
keywords={aircraft;geodesy;Global Positioning System;radio receivers;surveillance;automatic dependent surveillance-broadcasts;nonprecision geolocation algorithm;airborne vehicles;redundant navigation system;on-board satellite navigation systems;ADS-B equipped aircraft;airborne navigation aids;radio frequency angle-of-arrival;geodetic positioning algorithm;navigation algorithm;ADS-B capable aircraft;ADS-B positions;ADS-B validation;multiple GNSS quality navigation aids;Global Navigation Satellite Systems;Aircraft;Aircraft navigation;Global navigation satellite system;Simultaneous localization and mapping;Air traffic control;geodetic position;geo-location;position fix;ADS-B;SLAM;angle of arrival},
doi={10.1109/PLANS.2018.8373477},
ISSN={},
month={April},}
@ARTICLE{7420519,
author={S. {Fu} and J. {Liu} and X. {Chu} and Y. {Hu}},
journal={IEEE Internet Computing},
title={Toward a Standard Interface for Cloud Providers: The Container as the Narrow Waist},
year={2016},
volume={20},
number={2},
pages={66-71},
keywords={cloud computing;user interfaces;standard interface;cloud provider;open container;cloud infrastructure;cloud computing;Containers;Cloud computing;Virtualization;Runtime;Hardware;Web and internet services;Internet/Web technologies;cloud computing;cloud infrastructure;cloud services;Open Container Intitiative;OCI;container},
doi={10.1109/MIC.2016.25},
ISSN={},
month={Mar},}
@INPROCEEDINGS{7958457,
author={J. {Gouigoux} and D. {Tamzalit}},
booktitle={2017 IEEE International Conference on Software Architecture Workshops (ICSAW)},
title={From Monolith to Microservices: Lessons Learned on an Industrial Migration to a Web Oriented Architecture},
year={2017},
volume={},
number={},
pages={62-65},
keywords={Internet;service-oriented architecture;software houses;industrial migration;Web oriented architecture;microservices;MGDIS SA;software editing company;core business software;monolithic architecture;context-adapted migration;Computer architecture;Service-oriented architecture;Context;Couplings;Quality assurance;microservices;migration;Web Oriented Architecture},
doi={10.1109/ICSAW.2017.35},
ISSN={},
month={April},}
@ARTICLE{7986969,
author={G. {Mollo} and R. D. {Napoli} and G. {Naviglio} and C. D. {Chiara} and E. {Capasso} and G. {Alli}},
journal={IEEE Geoscience and Remote Sensing Letters},
title={Multifrequency Experimental Analysis (10 to 77 GHz) on the Asphalt Reflectivity and RCS of FOD Targets},
year={2017},
volume={14},
number={9},
pages={1441-1443},
keywords={airports;asphalt;fault diagnosis;radar cross-sections;reflectivity;roads;asphalt reflectivity;RCS targets;FOD targets;radar cross section measurement;foreign object debris;FOD detection;runway;frequency 10 GHz to 77 GHz;Clutter;Radar cross-sections;Airports;Asphalt;Radar detection;Millimeter wave radar;Asphalt reflectivity;foreign object debris (FOD) detection;radar cross section (RCS)},
doi={10.1109/LGRS.2017.2699282},
ISSN={},
month={Sep.},}
@INPROCEEDINGS{7311334,
author={A. Q. {Kara}},
booktitle={2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC)},
title={Analysis of congestion pricing model to handle “day of operations” airport capacity reduction},
year={2015},
volume={},
number={},
pages={1B2-1-1B2-9},
keywords={air traffic;airports;pricing;share prices;transportation;travel industry;congestion pricing model analysis;day-of-operations airport capacity reduction handling;runway access allocation system;arriving flights;runway capacity;flight assignment;complete cost structure;arrival time slots;airline behavior handling;adjusted flight schedule;Atmospheric modeling;Delays;Airports;Pricing;Computational modeling;Resource management;Analytical models},
doi={10.1109/DASC.2015.7311334},
ISSN={},
month={Sep.},}
@INPROCEEDINGS{8577501,
author={G. {Liu} and F. {Wei} and F. {Chen} and J. {Tang} and Z. {Peng} and B. {Liu} and Q. {Zhu} and D. {Hu} and B. {Feng} and Y. {Xiang} and C. {Wang}},
booktitle={2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)},
title={Fast automatic classification of input and exit surface laser-induced damage in large-aperture final optics},
year={2018},
volume={},
number={},
pages={782-790},
keywords={automatic optical inspection;feedforward neural nets;flaw detection;image capture;image classification;learning (artificial intelligence);large-aperture final optics;fast automatic classification method;machine learning;far-field light intensity distributions;numerical calculations;final optics damage inspection system;autoencoder-based extreme learning machine;damage classification;surface laser-induced damage;surface damage sites location;image capture;Lawrence Livermore National Laboratory;Lighting;Inspection;Surface morphology;Machine learning;Image edge detection;Imaging;laser-induced damage;input and exit surface;extreme learning machine;features},
doi={10.1109/IAEAC.2018.8577501},
ISSN={},
month={Oct},}
@ARTICLE{8674543,
author={M. {Vierhauser} and S. {Bayley} and J. {Wyngaard} and W. {Xiong} and J. {Cheng} and J. {Huseman} and R. R. {Lutz} and J. {Cleland-Huang}},
journal={IEEE Transactions on Software Engineering},
title={Interlocking Safety Cases for Unmanned Autonomous Systems in Shared Airspaces},
year={2019},
volume={},
number={},
pages={1-1},
keywords={Safety;Unmanned aerial vehicles;Monitoring;Runtime;Software;Atmospheric modeling;NASA;UAV;Unmanned Autonomous Systems;Safety Assurance Cases;Monitoring},
doi={10.1109/TSE.2019.2907595},
ISSN={},
month={},}
@INPROCEEDINGS{7360516,
author={F. N. {Ugwoke} and K. C. {Okafor} and V. C. {Chijindu}},
booktitle={2015 International Conference on Cyberspace (CYBER-Abuja)},
title={Security QoS profiling against cyber terrorism in airport network systems},
year={2015},
volume={},
number={},
pages={241-251},
keywords={airports;cloud computing;embedded systems;firewalls;information management;quality of service;telecommunication network routing;quality of service profiling;system response metrics;cloud based network;cloud infrastructure;cyber terrorists;riverbed modeler software;virtual DDoS protection;embedded network device;Cisco 9000 router firewall;VBDDA;vulnerability bandwidth depletion DDoS attacks;SPI-OACI;critical network assets;OpenFlow application centric infrastructure;stateful packet inspection;robust counter security network model;Nigerian aviation industry;cloud based platform;AIRMS;airport information resource management systems;MCS;mission critical services;aviation industry;distributed DoS;denial of service;airport information network services;airport network systems;cyber terrorism;security QoS profiling;Airports;Computer crime;Atmospheric modeling;Air traffic control;Floods;Attacks;Cloud Datacenters;DoS;DDoS;Vulnerabilities;AIRMS;Mitigation Techniques;Aviation Industry},
doi={10.1109/CYBER-Abuja.2015.7360516},
ISSN={},
month={Nov},}
@INPROCEEDINGS{7218547,
author={T. {Liu} and L. {Yang} and X. {Li} and H. {Huang} and Y. {Liu}},
booktitle={2015 IEEE Conference on Computer Communications (INFOCOM)},
title={TagBooth: Deep shopping data acquisition powered by RFID tags},
year={2015},
volume={},
number={},
pages={1670-1678},
keywords={consumer behaviour;data acquisition;data mining;marketing data processing;radiofrequency identification;TagBooth;deep shopping data acquisition;RFID tags;data mining techniques;consumer behaviors;customer transaction data;legacy systems;COTS RFID devices;physical-layer information;received signal strength;RSS;Radio frequency;Radiofrequency identification;Legged locomotion;Interference;Motion detection;Accuracy;Conferences;RFID;TagBooth;Deep Shopping Data;Motion Detection;Action Recognition},
doi={10.1109/INFOCOM.2015.7218547},
ISSN={},
month={April},}
@INPROCEEDINGS{7311411,
author={M. {Strohmeier} and I. {Martinovic} and M. {Fuchs} and M. {Schäfer} and V. {Lenders}},
booktitle={2015 IEEE/AIAA 34th Digital Avionics Systems Conference (DASC)},
title={OpenSky: A swiss army knife for air traffic security research},
year={2015},
volume={},
number={},
pages={4A1-1-4A1-14},
keywords={air traffic;protocols;swiss army knife;OpenSky;air traffic security research;automatic dependent surveillance - broadcast protocol;next generation air transportation system;ADS-B protocol;participatory sensor network;Aircraft;Europe;Protocols;Security;Hardware;Receivers;Computer architecture},
doi={10.1109/DASC.2015.7311411},
ISSN={},
month={Sep.},}
@ARTICLE{8337902,
author={X. {Yue} and Y. {Liu} and J. {Wang} and H. {Song} and H. {Cao}},
journal={IEEE Communications Magazine},
title={Software Defined Radio and Wireless Acoustic Networking for Amateur Drone Surveillance},
year={2018},
volume={56},
number={4},
pages={90-97},
keywords={aerospace control;autonomous aerial vehicles;computer network security;learning (artificial intelligence);radio transceivers;remotely operated vehicles;software radio;surveillance;telemetry;underwater acoustic communication;wireless sensor networks;wireless acoustic networking;amateur drone surveillance;microelectro-mechanical sensory industry;open source autopilot stacks;highly maneuverable UAVs;privacy;public safety;threats;sensitive areas;dual approach;detection;eviction;distributed system;approximate position;unwelcome drones;wireless acoustic sensor network;software defined radio transceivers;UAV's telemetry protocols;control commands;trespassing drone;aggressive surveillance UAVs;Drones;Acoustics;Surveillance;Telemetry;Wireless sensor networks;Acoustic sensors;Wireless communication},
doi={10.1109/MCOM.2018.1700423},
ISSN={},
month={April},}
@INPROCEEDINGS{8445967,
author={S. {Qian Zhang} and F. {Xue} and N. {Ageen Himayat} and S. {Talwar} and H. T. {Kung}},
booktitle={2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)},
title={A Machine Learning Assisted Cell Selection Method for Drones in Cellular Networks},
year={2018},
volume={},
number={},
pages={1-5},
keywords={antenna radiation patterns;autonomous aerial vehicles;cellular radio;learning (artificial intelligence);telecommunication computing;wireless channels;standard cellular network;aerial channels;predictive techniques;optimal cell selection;base-station antenna patterns;conditional random field;realistic antenna patterns;high prediction accuracy;learning approaches;aerial channel environment;aerial drones;spatial correlation;cell quality;machine learning assisted cell selection method;Drones;Interference;Signal to noise ratio;Antennas;Wireless communication;Cellular networks;Correlation;UAV;drone;wireless communications;cellular networks;machine learning;conditional random field},
doi={10.1109/SPAWC.2018.8445967},
ISSN={},
month={June},}
@ARTICLE{8052530,
author={I. {Schlangen} and E. D. {Delande} and J. {Houssineau} and D. E. {Clark}},
journal={IEEE Transactions on Signal Processing},
title={A Second-Order PHD Filter With Mean and Variance in Target Number},
year={2018},
volume={66},
number={1},
pages={48-63},
keywords={filtering theory;probability;target tracking;Second-Order PHD filter;Cardinalized PHD filters;first-order moment;second-order moment;CPHD filter;multiobject filters;probability hypothesis density filters;multitarget tracking problem;SO-PHD filter;cardinality distribution;Panjer point process;spooky effect;Correlation;Bayes methods;Random variables;Reactive power;Target tracking;Computational efficiency;Radio frequency;Bayes methods;filtering;analysis of variance;correlation;PHD filter;Panjer distribution;second-order moment},
doi={10.1109/TSP.2017.2757905},
ISSN={},
month={Jan},}
@ARTICLE{8772112,
author={Z. {Tao} and Q. {Xia} and Z. {Hao} and C. {Li} and L. {Ma} and S. {Yi} and Q. {Li}},
journal={Proceedings of the IEEE},
title={A Survey of Virtual Machine Management in Edge Computing},
year={2019},
volume={107},
number={8},
pages={1482-1499},
keywords={cloud computing;scheduling;security of data;virtual machines;virtualisation;virtual machine management;edge computing systems;virtual machines;virtualization mechanism;edge computing hardware infrastructures;VM management;virtualization frameworks;virtualization techniques;placement algorithms;scheduling algorithms;security;Edge computing;Cloud computing;Virtual machining;Hardware;Algorithm design and analysis;Data centers;Algorithms;management;virtual machining},
doi={10.1109/JPROC.2019.2927919},
ISSN={},
month={Aug},}
@INPROCEEDINGS{7886669,
author={A. {Mebsout} and C. {Tinelli}},
booktitle={2016 Formal Methods in Computer-Aided Design (FMCAD)},
title={Proof certificates for SMT-based model checkers for infinite-state systems},
year={2016},
volume={},
number={},
pages={117-124},
keywords={computability;equivalence classes;formal verification;minimisation;theorem proving;proof certificate;SMT-based model checker;infinite-state system;k-inductive invariant;minimization;formal proof term;first-order logic representation;observational equivalence;Safety;Engines;Model checking;Instruments;Analytical models;Software;NASA},
doi={10.1109/FMCAD.2016.7886669},
ISSN={},
month={Oct},}
@ARTICLE{7583683,
author={W. C. {Barott} and S. {Fucharoen}},
journal={IEEE Journal of Selected Topics in Signal Processing},
title={Experimental Time-Modulated Beamformer for Interference Mitigation in a Radio Spectrometer},
year={2017},
volume={11},
number={2},
pages={271-281},
keywords={antenna arrays;array signal processing;interference suppression;radiofrequency interference;radiotelescopes;time series;UHF antennas;coefficient synthesis;sparse array;acquisition difference;sidelobe suppression beam;antenna weight;software beamformer processing;narrow-band interference;narrow-band source;L-band hydroxyl maser W3(OH);Allen telescope array;radio spectrometer sidelobe blanking;interference mitigation;time-modulated beamformer;Arrays;Interference;Harmonic analysis;Phased arrays;Detectors;Antenna array;radio astronomy;sidelobe blanking;time modulated array},
doi={10.1109/JSTSP.2016.2615268},
ISSN={},
month={March},}
@INPROCEEDINGS{8258340,
author={A. {Kaplunovich} and Y. {Yesha}},
booktitle={2017 IEEE International Conference on Big Data (Big Data)},
title={Cloud big data decision support system for machine learning on AWS: Analytics of analytics},
year={2017},
volume={},
number={},
pages={3508-3516},
keywords={Big Data;cloud computing;data analysis;decision support systems;learning (artificial intelligence);Web services;assorted AWS instances;machine learning models;Big Data;cloud big data decision support system;NoSQL DynamoDB database;automatic recommendation system;Amazon Web Services;Libraries;Databases;Load modeling;Regression tree analysis;Natural language processing;Big Data;Machine learning algorithms},
doi={10.1109/BigData.2017.8258340},
ISSN={},
month={Dec},}
@INPROCEEDINGS{8396807,
author={A. {Khan} and M. {Hebert}},
booktitle={2018 IEEE Aerospace Conference},
title={Learning safe recovery trajectories with deep neural networks for unmanned aerial vehicles},
year={2018},
volume={},
number={},
pages={1-9},
keywords={autonomous aerial vehicles;control engineering computing;learning (artificial intelligence);mobile robots;neural nets;robot vision;unmanned vehicle;deep learning pipeline;unmanned aerial vehicle;transfer learning;safe autonomous flight;safe recovery trajectories;deep neural networks;vision sensors;failure detection systems;autonomous flight;Neurons;Biological neural networks;Trajectory;Safety;Machine learning;Cameras;Unmanned aerial vehicles},
doi={10.1109/AERO.2018.8396807},
ISSN={},
month={March},}
@BOOK{8620666,
author={N. {Tonellotto} and C. {Macdonald} and I. {Ounis}},
booktitle={Efficient Query Processing for Scalable Web Search},
title={Efficient Query Processing for Scalable Web Search},
year={2018},
volume={},
number={},
pages={},
keywords={},
doi={},
ISSN={},
publisher={now},
isbn={},
url={https://ieeexplore.ieee.org/document/8620666},}
@INPROCEEDINGS{8633626,
author={I. {Ledakis} and T. {Bouras} and G. {Kioumourtzis} and M. {Skitsas}},
booktitle={2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA)},
title={Adaptive Edge and Fog Computing Paradigm for Wide Area Video and Audio Surveillance},
year={2018},
volume={},
number={},
pages={1-5},
keywords={cameras;cloud computing;distributed processing;sensor fusion;video streaming;video surveillance;hardware options;software components;fog computing;distributed computing;video streams;data fusion;cloud computing;camera embedded system;edge computing;smart surveillance systems;remote cloud resources;cloud-based solutions;data processing;audio data streams;enterprise facilities;audio surveillance;Cloud computing;Surveillance;Streaming media;Edge computing;Computer architecture;Data processing;Real-time systems;surveillance system;edge computing;fog computing;adaptive architecture;distributed computing},
doi={10.1109/IISA.2018.8633626},
ISSN={},
month={July},}
@INPROCEEDINGS{8285371,
author={M. {Metlicka} and D. {Davendra}},
booktitle={2017 IEEE Symposium Series on Computational Intelligence (SSCI)},
title={Complex network analysis of firefly algorithm population dynamics},
year={2017},
volume={},
number={},
pages={1-8},
keywords={complex networks;genetic algorithms;particle swarm optimisation;complex network analysis;evolutionary algorithms dynamics;swarm based algorithm;Firefly Algorithm;Artificial Bee Colony Algorithm;Adaptive FA algorithm;communication patterns;firefly algorithm population dynamics;vertex centralities;Heuristic algorithms;Algorithm design and analysis;Sociology;Statistics;Complex networks;Evolutionary computation;Mathematical model;Evolutionary Algorithm;Firefly Algorithm;Complex Networks;Centrality;Adaptive},
doi={10.1109/SSCI.2017.8285371},
ISSN={},
month={Nov},}
@INPROCEEDINGS{8817283,
author={P. {Gkikopoulos}},
booktitle={2019 IEEE World Congress on Services (SERVICES)},
title={Data Distribution and Exploitation in a Global Microservice Artefact Observatory},
year={2019},
volume={2642-939X},
number={},
pages={319-322},
keywords={cloud computing;data handling;software architecture;global microservice artefact observatory;cloud computing;microservice architecture pattern;computer science;microservice architectures;global observatory;microservice artefacts;cloud applications;data distribution;data exploitation;software artefact structure;Tools;Observatories;Monitoring;Computer architecture;Testing;Software;Metadata;microservices;software artefacts;data science;monitoring},
doi={10.1109/SERVICES.2019.00089},
ISSN={},
month={July},}
@INPROCEEDINGS{7382506,
author={ {Ying Liu} and {Miaolei Zhou}},
booktitle={2015 Chinese Automation Congress (CAC)},
title={KP model for hysteresis of piezoelectric ceramic actuators},
year={2015},
volume={},
number={},
pages={253-257},
keywords={hysteresis;particle swarm optimisation;piezoceramics;piezoelectric actuators;search problems;KP model;piezoelectric ceramic actuators;hysteresis characteristic;Krasnosel'skii-Pokrovskii model;cuckoo search algorithm;hybrid optimization algorithm;particle swarm;maximum displacement error;density function;identification methods;Hysteresis;Ceramics;Actuators;Mathematical model;Optimization;Density functional theory;Adaptation models;hysteresis;piezoelectric ceramic actuators;Krasnosel'skii-Pokrovskii model;cuckoo search algorithm;hybrid optimization algorithm},
doi={10.1109/CAC.2015.7382506},
ISSN={},
month={Nov},}
@INPROCEEDINGS{8754289,
author={Y. {Tsubouchi} and A. {Wakisaka} and K. {Hamada} and M. {Matsuki} and H. {Abe} and R. {Matsumoto}},
booktitle={2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC)},
title={HeteroTSDB: An Extensible Time Series Database for Automatically Tiering on Heterogeneous Key-Value Stores},
year={2019},
volume={1},
number={},
pages={264-269},
keywords={data structures;database management systems;time series;key-value stores;monitoring service providers;data structure;function additions;TSDB architecture;in-memory KVS;on-disk KVS;TSDB extensibility;HeteroTSDB;time series database;Data structures;Writing;Measurement;Time series analysis;Monitoring;Memory;AWS;Cloud;NoSQL;Monitoring;Key Value Store;Time Series Database},
doi={10.1109/COMPSAC.2019.00046},
ISSN={},
month={Jul},}
@BOOK{7809443,
author={V. {Roussev} and E. {Bertino} and R. {Sandhu}},
booktitle={Digital Forensic Science: Issues, Methods, and Challenges},
title={Digital Forensic Science: Issues, Methods, and Challenges},
year={2016},
volume={},
number={},
pages={},
keywords={digital forensics;cyber forensics;cyber crime;incident response;data recovery},
doi={},
ISSN={},
publisher={Morgan & Claypool},
isbn={},
url={https://ieeexplore.ieee.org/document/7809443},}
@INPROCEEDINGS{8538453,
author={A. {Magalhaes} and L. {Rech} and R. {Moraes} and F. {Vasques}},
booktitle={2018 IEEE Symposium on Computers and Communications (ISCC)},
title={REPO: A Microservices Elastic Management System for Cost Reduction in the Cloud},
year={2018},
volume={},
number={},
pages={00328-00333},
keywords={Big Data;cloud computing;cost reduction;data analysis;resource allocation;small-to-medium enterprises;SQL;virtual machines;cloud computing;NoSQL databases;Big data analytics;internet companies;small and medium sized businesses;rapid elasticity to prevent overload system;virtual private server;budget-restricted companies;Web startups;VPS;infrastructure elasticity;microservices elastic management system;REPO;cost reduction;Cloud computing;Companies;Containers;Elasticity;Engines;Scalability;Cloud Computing (IaaS, PaaS, and SaaS);Distributed Systems Architecture and Management;Real Time Communication Services;Internet Services and Applications;Network Reliability, Quality of Service and Quality of Experience.},
doi={10.1109/ISCC.2018.8538453},
ISSN={},
month={June},}
@ARTICLE{8746691,
author={F. {Liu} and G. {Tang} and Y. {Li} and Z. {Cai} and X. {Zhang} and T. {Zhou}},
journal={Proceedings of the IEEE},
title={A Survey on Edge Computing Systems and Tools},
year={2019},
volume={107},
number={8},
pages={1537-1562},
keywords={distributed processing;learning (artificial intelligence);optimisation;deep learning optimization;5G communications;Internet of Things;edge computing systems;Cloud computing;Edge computing;Computer architecture;Energy efficiency;Internet of Things;Computational modeling;Deep learning;Open source software;Optimization;Deep learning optimization;edge computing systems;energy efficiency;open-source tools;survey},
doi={10.1109/JPROC.2019.2920341},
ISSN={},
month={Aug},}
@ARTICLE{8533363,
author={X. {Yang} and R. {Lu} and J. {Shao} and X. {Tang} and A. {Ghorbani}},
journal={IEEE Transactions on Services Computing},
title={Achieving Efficient and Privacy-Preserving Multi-Domain Big Data Deduplication in Cloud},
year={2018},
volume={},
number={},
pages={1-1},
keywords={Cloud computing;Encryption;Servers;Resists;Big Data;Secure data deduplication;cross-domain deduplication;brute-force attacks;message equality information},
doi={10.1109/TSC.2018.2881147},
ISSN={},
month={},}
@ARTICLE{7549107,
author={Z. {Mahboubi} and M. J. {Kochenderfer}},
journal={IEEE Transactions on Intelligent Transportation Systems},
title={Learning Traffic Patterns at Small Airports From Flight Tracks},
year={2017},
volume={18},
number={4},
pages={917-926},
keywords={air traffic control;airports;Bayes methods;belief networks;collision avoidance;decision theory;hidden Markov models;inference mechanisms;Monte Carlo methods;traffic pattern learning;flight tracks;near-midair collisions;aviation aircraft;automated air traffic control system;nontowered airports;partially observable Markov decision process;radar data;trajectory clustering;noisy heading rates;Bayesian inference;hidden semiMarkov model;hierarchical Dirichlet process;Markov chain Monte Carlo methods;Bayesian models;turning point;f-divergence measures;Hidden Markov models;Aircraft;Atmospheric modeling;Airports;Markov processes;Trajectory;Aircraft navigation;Air traffic control;probabilistic models;unsupervised learning},
doi={10.1109/TITS.2016.2598064},
ISSN={},
month={April},}
@INPROCEEDINGS{7179377,
author={E. {Hableel} and J. {Baek} and Y. {Byon} and D. S. {Wong}},
booktitle={2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)},
title={How to protect ADS-B: Confidentiality framework for future air traffic communication},
year={2015},
volume={},
number={},
pages={155-160},
keywords={aircraft communication;avionics;cryptography;radio broadcasting;telecommunication security;ADS-B protection;future air traffic communication;confidentiality framework;automatic dependent surveillance-broadcast;e-enabled aircrafts;avionics;flight data broadcasting;positioning information;aviation industry;ground controllers;ADS-B communications;ADS-B receivers;mission-critical civil airplanes;military airplanes;effective key management;SIBE scheme;staged identity based encryption scheme;hybrid identity-based encryption;Aircraft;Aerospace control;Encryption;Military aircraft;Airports;ADS-B;Security;Confidentiality;Identity-Based Cryptography},
doi={10.1109/INFCOMW.2015.7179377},
ISSN={},
month={April},}
@INPROCEEDINGS{8648632,
author={S. S. {Rao} and P. {S} and S. {Kalambur} and D. {Sitaram}},
booktitle={2018 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM)},
title={Bodhisattva - Rapid Deployment of AI on Containers},
year={2018},
volume={},
number={},
pages={100-104},
keywords={cloud computing;data mining;graphical user interfaces;learning (artificial intelligence);cloud-based machine learning;AI;real-world problems;business solutions;goliath task;sheer effort;machine learning models;MLaaS;end-to-end microservice suite;container-based PaaS environment;intuitive web-based GUI;training ML models;resource usage;training metrics;Web applications;scalable machine-learning-as-a-service;Conferences;Cloud computing;cloud;cloud computing;containers;PaaS;microservices;machine learning;scalability},
doi={10.1109/CCEM.2018.00025},
ISSN={},
month={Nov},}
@INPROCEEDINGS{8102052,
author={E. {Casado} and M. L. {Civita} and M. {Vilaplana} and E. W. {McGookin}},
booktitle={2017 IEEE/AIAA 36th Digital Avionics Systems Conference (DASC)},
title={Quantification of aircraft trajectory prediction uncertainty using polynomial chaos expansions},
year={2017},
volume={},
number={},
pages={1-11},
keywords={aircraft control;chaos;Monte Carlo methods;polynomials;aircraft trajectory prediction uncertainty;univariate polynomial descriptions;trajectory prediction process;multivariate polynomial expansions;aircraft state variables;classical Monte Carlo approach;arbitrary polynomial chao expansions;aPCE;PC;Trajectory;Aircraft;Uncertainty;Air traffic control;Chaos;Atmospheric modeling;Europe;aircraft trajectory prediction;uncertainty quantification;polynomial chaos;generalized PCE;arbitrary PCE},
doi={10.1109/DASC.2017.8102052},
ISSN={},
month={Sep.},}
@ARTICLE{8768345,
author={L. {Chao} and X. {Peng} and Z. {Xu} and L. {Zhang}},
journal={Proceedings of the IEEE},
title={Ecosystem of Things: Hardware, Software, and Architecture},
year={2019},
volume={107},
number={8},
pages={1563-1583},
keywords={Internet of Things;software architecture;ecosystem architectures;computing resources;EoT;smart edge computing;computing infrastructure;Ecosystem of Things;Internet of Things;Edge computing;Ecosystems;Computer architecture;Cloud computing;Software engineering;Internet of Things;Smart phones;Architecture;ecosystem of things (EoT);edge computing;hardware;Internet of Things (IoT);software},
doi={10.1109/JPROC.2019.2925526},
ISSN={},
month={Aug},}
@ARTICLE{8354433,
author={P. {Jamshidi} and C. {Pahl} and N. C. {Mendonça} and J. {Lewis} and S. {Tilkov}},
journal={IEEE Software},
title={Microservices: The Journey So Far and Challenges Ahead},
year={2018},
volume={35},
number={3},
pages={24-35},
keywords={Special issues and sections;Service computing;Software development;microservices;service-oriented architecture;SOA;domain-driven design;DDD;model-driven development;MDD;architectural antipatterns;legacy systems;software development;software engineering},
doi={10.1109/MS.2018.2141039},
ISSN={},
month={May},}
@ARTICLE{8383675,
author={Y. {Izrailevsky} and C. {Bell}},
journal={IEEE Cloud Computing},
title={Cloud Reliability},
year={2018},
volume={5},
number={3},
pages={39-44},
keywords={Cloud Computing;reliability;availability;cloud architecture;redundancy;isolation;graceful degradation;regional failover;eventual consistency;cloud operations;DevOps;chaos engineering;simian army;cloud monitoring;anomaly detection},
doi={10.1109/MCC.2018.032591615},
ISSN={},
month={May},}
@INPROCEEDINGS{8495424,
author={},
booktitle={2018 IEEE Symposium on Electromagnetic Compatibility, Signal Integrity and Power Integrity (EMC, SI PI)},
title={Final Program},
year={2018},
volume={},
number={},
pages={1-152},
keywords={},
doi={10.1109/EMCSI.2018.8495424},
ISSN={},
month={July},}
@INPROCEEDINGS{8457772,
author={},
booktitle={2018 IEEE 11th International Conference on Cloud Computing (CLOUD)},
title={Table of Contents},
year={2018},
volume={},
number={},
pages={5-21},
keywords={},
doi={10.1109/CLOUD.2018.00004},
ISSN={},
month={July},}
@INPROCEEDINGS{7502683,
author={},
booktitle={2016 International Conference on Unmanned Aircraft Systems (ICUAS)},
title={Technical program},
year={2016},
volume={},
number={},
pages={1-47},
keywords={},
doi={10.1109/ICUAS.2016.7502683},
ISSN={},
month={June},}