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一种高回报的最小空闲时间优先实时调度改进算法

张晶 孙少杰 范洪博 肖智斌

计算机工程2017,Vol.43Issue(3):57-61,68,6.
计算机工程2017,Vol.43Issue(3):57-61,68,6.DOI:10.3969/j.issn.1000-3428.2017.03.010

一种高回报的最小空闲时间优先实时调度改进算法

An Improved Least Slack First Real-time Scheduling Algorithmwith High Return

张晶 1孙少杰 1范洪博 1肖智斌1

作者信息

  • 1. 昆明理工大学 信息工程与自动化学院,昆明 650500
  • 折叠

摘要

Abstract

Signal task scheduling algorithm is the key to the effectiveness of the implementation of Cyber Physical System(CPS).When the system is fully loaded,the Least Slack First(LSF) algorithm,Earliest Deadline First(EDF) algorithm or Highest Value First(HVF) algorithm cannot finish the task scheduling perfectly and the system energy consumption is higher than normal condition.Therefore,this paper proposes an improved scheduling algorithm.The algorithm can schedule system task dynamically by introducing task scheduling priority and actual task scheduling priority with combining task energy consumption,task completion value and task urgency.Experimental results show that for the same task set and the same number of tasks,the system energy consumption of the improved algorithm is less than that of LSF algorithm and EDF algorithm.When the system is fully loaded,compared with HVF algorithm,the improved algorithm can use less energy consumption to achieve the same total tasks' value.

关键词

最小空闲时间优先算法/高回报最小空闲时间优先算法/任务能耗/任务价值/动态调度

Key words

Least Slack First(LSF) algorithm/High Return Least Slack First(HRLSF) algorithm/task energy consumption/task value/dynamic scheduling

分类

信息技术与安全科学

引用本文复制引用

张晶,孙少杰,范洪博,肖智斌..一种高回报的最小空闲时间优先实时调度改进算法[J].计算机工程,2017,43(3):57-61,68,6.

基金项目

国家自然科学基金(61562051) (61562051)

云南省应用基础研究计划重点项目(2014FA029). (2014FA029)

计算机工程

OA北大核心CSCDCSTPCD

1000-3428

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