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  • 标题:Task Scheduling Model of Cloud Computing based on Firefly Algorithm
  • 本地全文:下载
  • 作者:Jichao Hu ; Yue Fu
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2015
  • 卷号:8
  • 期号:8
  • 页码:35-46
  • DOI:10.14257/ijhit.2015.8.8.03
  • 出版社:SERSC
  • 摘要:We proposed a task scheduling in cloud computing based on intelligence firefly algorithm aimed at the disadvantages of cloud computing task scheduling. Firstly, on the basis of cloud model, used intelligence firefly algorithm with strong ability of global searching to find the better solution of cloud computing task scheduling then turned the better solution into the initial pheromone of improved firefly algorithm, and found out the cloud computing task scheduling and the algorithm's global optimal solution through improved firefly information communications and feedbacks. Finally, made comparison test of the three benchmark function on the basis of MATLAB, the results showed, compared with traditional intelligence firefly algorithms, the improved algorithm can preferably allocate the resources in cloud computing model, the effect of prediction model time is more close to actual time, can efficiently limit the possibility of falling into local convergence, the optimal solution's time of objective function value is shorten which meet the user's needs more.
  • 关键词:Cloud Computing; Network Computing; Firefly Algorithm; Task Scheduling
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