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  • 标题:Edge computing task scheduling strategy based on load balancing
  • 本地全文:下载
  • 作者:Lintan Sun ; Zigan Li ; Jingxian Lv
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2020
  • 卷号:309
  • 页码:1-7
  • DOI:10.1051/matecconf/202030903025
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:With the rapid development and wide application of the Internet of Everything, in order to cope with the increasing amount of data and computational scale of mobile terminal processing, and the imbalance of existing scheduling algorithms and low resource utilization, this paper proposes a task scheduling algorithm based on business priority. The algorithm firstly divides the service according to the priority of the service. Secondly, the standard deviation of the computing task group is used to determine the proportion of long and short services, and the dynamic selection model is established. Finally, according to the idea of secondary allocation, the task of heavy load is assigned to the scheduling strategy of light load resources to execute, and the service redistribution model is established. The simulation results show that compared with the typical algorithm, the proposed algorithm achieves the result of comprehensive consideration of Makespan and load balancing to improve system efficiency.
  • 关键词:Keywords:enEdge calculationLoad balancingSecondary allocation
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