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  • 苑海涛 ( 副教授 )

    的个人主页 http://shi.buaa.edu.cn/yuanhaitao/zh_CN/index.htm

  •   副教授   硕士生导师
  • 主要任职:工业互联网与建模仿真系副主任
  • 其他任职:IEEE Senior Member、中国体视学学会理事、《Expert System Applications 》期刊(中科院JCR分区1区,影响因子8.665)副主编、系统仿真学报青年编委
论文 当前位置: 中文主页 >> 论文
Energy-efficient Task Offloading Using Hybrid Particle Swarm Optimization with Genetic Operations in Smart Edge
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发表刊物:IFAC-PapersOnLine
刊物所在地:荷兰
关键字:Smart mobile devices, edge computing, task offloading, genetic algorithm, particle swarm optimizatio
摘要:Wireless capacities and battery energy of smart mobile devices (SMDs) are constrained, and therefore, only limited tasks of applications can be executed in SMDs. To solve this problem, some computation tasks in SMDs can be partially offloaded to edge servers with larger processing capacities. Nonetheless, communication latency is caused for offloaded tasks because of channel bandwidth limits between SMDs and edge servers due to the task offloading. This work designs an energy-efficient task offloading approach to achieve energy consumption minimization for edge servers and SMDs by comprehensiv
论文类型:基础研究
论文编号:DOI: 10.1016/j.ifacol.2021.04.122
一级学科:计算机科学与技术
文献类型:期刊
卷号:53
期号:5
页面范围:19-24
ISSN号:2405-8963
是否译文:否
CN号:null
发表时间:2020-12-01
收录刊物:EI
发布期刊链接:https://www-sciencedirect-com-s.vpn.buaa.edu.cn:8118/science/article/pii/S2405896321002342
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