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A PSO-based resource scheduling strategy for load balancing in cloud computing

Hongwei Zhao


Cloud computing needs tomanage a large number of computing resources, while resources scheduling strategy plays a key role in determining the efficiency of cloud computing. It is an important issue how to allocate computing resources reasonably and schedule tasks run effectively which can reduce the complete time and cost of all tasks.this paper built a optimization model for Resources Scheduling of cloud computing system and proposed an improved particle swarm optimization algorithm for the builtmodel. Finally, the result of the experiment indicates that the scheduling systemcan improve the efficiency of dispatching resource and the utilization ratio in the Cloud Computing system.


索引于

  • 中国社会科学院
  • 谷歌学术
  • 打开 J 门
  • 中国知网(CNKI)
  • 引用因子
  • 宇宙IF
  • 研究期刊索引目录 (DRJI)
  • 秘密搜索引擎实验室
  • 学术文章影响因子(SAJI))
  • ICMJE

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