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  • 标题:Priority Particle Swarm Optimization Based Load Balancing in Cloud Computing
  • 本地全文:下载
  • 作者:Rachna Yadav ; Mayank Namdev
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2018
  • 卷号:6
  • 期号:3
  • 页码:2609
  • DOI:10.15680/IJIRCCE.2017.0603156
  • 出版社:S&S Publications
  • 摘要:Cloud computing is a technology that facilitates tasks by allocating virtual machine (VM) dynamically.There are so many challenges faced by cloud provider. One of the challenge is load balancing. Load balancing is asignificant area of cloud computing environment which ensures that all connected devices or processors carry out sameamount of work in equal time. With an aim to make cloud resources and services accessible to the cloud user easily andconveniently, different algorithms and models for load balancing in cloud computing is being developed. There are somany algorithms are available for proper load balancing but in this paper particle swarm based algorithm is focusedthat can balance the load in cloud computing so that resources are easily available for users. In this research work focusis on designing of task scheduling algorithm based on priority based particle swarm optimization technique that canbalance load efficiently in cloud computing so that resources are easily available for users.
  • 关键词:Cloud Computing; Load Balancing; Particle Swarm Optimization; Execution Factors; Execution Time.
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