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  • 标题:Applying Parallel Genetic and Considering Proximity for Resource Allocation in Cloud
  • 本地全文:下载
  • 作者:Romil Chauhan ; Yash Jain ; Harsh Agarwal
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2016
  • 卷号:7
  • 期号:2
  • 页码:643-646
  • 出版社:TechScience Publications
  • 摘要:This era of virtualization of services has beenadopted by majority of users all over the world. Virtualizationof services reduces the amount of efforts a company puts inorder to design their product as service providers takes care ofthe background work. This increases the responsibility of thecloud providers. The service provider’s goal is to provide theuser with a facility with minimum response time and minimumcost. This was already achieved by individually consideringproximity and genetic algorithm for resource allocation. In thispaper, we propose a method to help the service providersachieve the same. We do so by considering various factorsincluding the proximity factor and apply genetic algorithm toanalyze and find the best combinations by considering theirfitness.
  • 关键词:IaaS; PaaS; SaaS; resource allocation;proximity; parallel genetic algorithm; distributed cloud;computing.
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