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Self-Adaptive Learning PSO-Based Deadline Constrained Task Scheduling for Hybrid IaaS Cloud

contributor authorXingquan Zuo
contributor authorGuoxiang Zhang
contributor authorWei Tan
date accessioned2020-03-12T18:26:02Z
date available2020-03-12T18:26:02Z
date issued2014
identifier issn1545-5955
identifier other6574281.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/958361?show=full
formatgeneral
languageEnglish
publisherIEEE
titleSelf-Adaptive Learning PSO-Based Deadline Constrained Task Scheduling for Hybrid IaaS Cloud
typeJournal Paper
contenttypeMetadata Only
identifier padid7990806
subject keywordscloud computing
subject keywordsinteger programming
subject keywordsparticle swarm optimisation
subject keywordsquality of service
subject keywordsresource allocation
subject keywordsECs
subject keywordsIP model
subject keywordsInfrastructure as a service
subject keywordsQoS
subject keywordsSLPSO
subject keywordsdeadline constrained task scheduling
subject keywordsexternal clouds
subject keywordshybrid IaaS cloud
subject keywordsinteger programming
subject keywordsmultiplexing
subject keywordsquality-of-service
subject keywordsresource allocation framework
subject keywordsself-adaptive learning particle swarm optimization
subject keywordsCloud computing
subject keywordsProcessor scheduling
subject keywordsQuality of service
subject keywordsResource management
subject keywordsRobustness
subject keywordsScheduling
subject keywordsStandards
subject keywordsHybrid cl
identifier doi10.1109/TASE.2013.2272758
journal titleAutomation Science and Engineering, IEEE Transactions on
journal volume11
journal issue2
filesize2092581
citations1


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