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  • 标题:Balancing Load Using Genetic Criteria in Cloud Computing
  • 本地全文:下载
  • 作者:S. Kowser Sultana ; G. Divya Zion ; U. Supriya
  • 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:4
  • 页码:2026-2034
  • 出版社:TechScience Publications
  • 摘要:Cloud computing uses the ideas of scheduling andload balancing to transfer tasks to underutilized VMs foreffectively sharing the resources. IT based companies hasalready changed their way to buy and design hardwarethrough this technology. To balance the load cloudenvironment can be used by splitting the amount of work byvirtual machines in efficient way using existing algorithms.There are various classifications in load balancing algorithm.We present static or dynamic load balancing algorithms whichare in comparison here. In this paper, we propose the dynamicalgorithm i.e. genetic algorithm which is adaptable to balancethe load.
  • 关键词:Cloud Computing; Load balancing; Genetic;Algorithm
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