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文章基本信息

  • 标题:Resource Scheduling Simulation Design of Firefly Algorithm Based on Chaos Optimization in Cloud Computing
  • 本地全文:下载
  • 作者:Yue Miao
  • 期刊名称:International Journal of Grid and Distributed Computing
  • 印刷版ISSN:2005-4262
  • 出版年度:2014
  • 卷号:7
  • 期号:6
  • 页码:221-228
  • DOI:10.14257/ijgdc.2014.7.6.18
  • 出版社:SERSC
  • 摘要:The problem of resources under the environment of cloud computing has always been the focus of research. In this paper, the Artificial Firefly Algorithm is studied, on the basis of which the chaos algorithm is introduced to improve the algorithm with regard to the problem of the subsequent search and optimization precision deficiency cause by the lack of initialization of firefly position in the firefly algorithm. Meanwhile, the updating of luciferin is improved. The improved algorithm is enhanced greatly in accuracy and performance. Through the simulation platform Cloudsim, it is found that under the cloud computing model, the algorithm presented in this paper can effectively reduce the average time spent by subtasks in processing request tasks, and thus improve the efficiency of task processing and achieve a rational allocation of resources.
  • 关键词:Artificial Firefly Algorithm; cloud computing; resource allocation; chaos ; algorithm
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