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dc.contributor.authorCui, Hongyan
dc.contributor.authorLiu, Xiaofei
dc.contributor.authorYu, Tao
dc.contributor.authorZhang, Honggang
dc.contributor.authorFang, Yajun
dc.contributor.authorXia, Zongguo
dc.date.accessioned2017-06-07T14:25:49Z
dc.date.available2017-06-07T14:25:49Z
dc.date.issued2017-01
dc.date.submitted2016-07
dc.identifier.issn1939-0114
dc.identifier.issn1939-0122
dc.identifier.urihttp://hdl.handle.net/1721.1/109701
dc.description.abstractWe propose a cloud service scheduling model that is referred to as the Task Scheduling System (TSS). In the user module, the process time of each task is in accordance with a general distribution. In the task scheduling module, we take a weighted sum of makespan and flowtime as the objective function and use an Ant Colony Optimization (ACO) and a Genetic Algorithm (GA) to solve the problem of cloud task scheduling. Simulation results show that the convergence speed and output performance of our Genetic Algorithm-Chaos Ant Colony Optimization (GA-CACO) are optimal.en_US
dc.publisherHindawi Publishing Corporationen_US
dc.relation.isversionofhttp://dx.doi.org/10.1155/2017/2503153en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.sourceHindawi Publishing Corporationen_US
dc.titleCloud Service Scheduling Algorithm Research and Optimizationen_US
dc.typeArticleen_US
dc.identifier.citationCui, Hongyan; Liu, Xiaofei; Yu, Tao; Zhang, Honggang; Fang, Yajun and Xia, Zongguo. "Cloud Service Scheduling Algorithm Research and Optimization." Security and Communication Networks 2017, 2503153 (January 2017): 1-7 © 2017 Hongyan Cui et alen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.mitauthorFang, Yajun
dc.relation.journalSecurity and Communication Networksen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2017-06-07T08:22:27Z
dc.language.rfc3066en
dc.rights.holderCopyright © 2017 Hongyan Cui et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dspace.orderedauthorsCui, Hongyan; Liu, Xiaofei; Yu, Tao; Zhang, Honggang; Fang, Yajun; Xia, Zongguoen_US
dspace.embargo.termsNen_US
mit.licensePUBLISHER_CCen_US


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