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  • 标题:Review on Quality-Aware Cloud Service Selection based on Hybrid Method using Cloudsim Toolkit
  • 本地全文:下载
  • 作者:Prabhjot Kaur ; Talwinder Kaur
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2015
  • 卷号:6
  • 期号:6
  • 页码:5593-5594
  • 出版社:TechScience Publications
  • 摘要:Cloud computing is the technology which providescomputing resources remotely rather than on local server tocloud users to complete its task .One of the most powerfularea in cloud computing is quality of service. To providequality of service we have used hybrid genetic algorithmhaving different population size. In this paper we presenteda hybrid algorithm with Simplex Method and GeneticAlgorithm in order to solve quality-driven selection. In thisapproach, we used a tree traversal sequence encoding scheme.The encoding is based on a tree combination template ofservices combination. We used populations with differentsizes, have adopted for different composition scales, theefficiency of algorithm will be greatly improved. We alsotested the nature of hybrid genetic algorithm through numberof parameters like Input number of tasks, Populations size(different),Average number of candidate services for eachtask,Compute average fitness value of simple genetic,Averagefitness value of hybrid genetic.
  • 关键词:Hybrid genetic algorithm; Genetic algorithm;Simplex method
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