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  • 标题:An optimal energy-saving real-time task-scheduling algorithm for mobile terminals
  • 本地全文:下载
  • 作者:Ziran Peng ; Guojun Wang
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2017
  • 卷号:13
  • 期号:5
  • 页码:1
  • DOI:10.1177/1550147717707891
  • 出版社:Hindawi Publishing Corporation
  • 摘要:This article discusses the principles, mechanisms, and strategy of hard real-time task scheduling appropriate for mobile terminal equipment. Mobile terminals have timeliness requirements for completing hard real-time tasks and also clear energy-management requirements. Therefore, this study attempts to schedule tasks under these two constraints to achieve an optimal level of energy savings. First, terminal equipment operating time and standby time should meet the maximum requirements, and second, all tasks should meet the constraints of real-time parallel scheduling. We propose a scheduling strategy based on grouping according to the latest cut-off time, with each group adopting a dynamic optimization strategy to make scheduling decisions. The feasibility and validity of this algorithm are demonstrated through experiments and simulations.
  • 关键词:Mobile terminal; real-time task scheduling; earliest deadline first scheduling; optimal energy saving; step-by-step optimization strategy
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