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  • 标题:Load Balancing Algorithm with Threshold value for Cloud Computing
  • 本地全文:下载
  • 作者:Ranjan Kumar Mondal ; Enakshmi Nandi ; Payel Ray
  • 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:1
  • 页码:275-277
  • 出版社:TechScience Publications
  • 摘要:Cloud Computing is an environment made in client’smachine from an online application stored on the cloud and runthrough a web browser for storing and accessing data and programsover the web in spite of our computer’s hard drive. In the cloudstorage, load balancing is a key issue. It would consume a lot of cost tomaintain load information, since the system is too huge to timelydisperse load. Load balancing is one of the main challenges in cloudcomputing which is required to distribute the dynamic workloadacross multiple nodes to ensure that no single node is overwhelmed. Ithelps in optimal utilization of resources and hence in enhancing theperformance of the system. A few existing scheduling algorithmscan maintain load balancing and provide better strategiesthrough efficient job scheduling and resource allocation techniques aswell. In order to gain maximum profits with optimized load balancingalgorithms, it is necessary to utilize resources efficiently. Cloudcomputing employs web resources to execute large-scale tasks.Hence, for selecting proper node for executing a task is able toincrease the performance of large-scale cloud computingenvironment.
  • 关键词:Cloud Computing; Load Balancing; Distributed System;Scheduling.
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