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  • 标题:Load Balancing and its Challenges in Cloud Computing: A Review Paper
  • 本地全文:下载
  • 作者:Jaya Choubey ; Prof. Satpal Singh ; Prof. Sumit Nema
  • 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:2017
  • 卷号:5
  • 期号:8
  • 页码:14211
  • DOI:10.15680/IJIRCCE.2017.0508056
  • 出版社:S&S Publications
  • 摘要:Cloud Computing is a rising computing model. It aims to share data, service transparently over anetwork of nodes. Since Cloud computing stores the data and distributed resources in the open environment. So, theamount of data storage increases quickly. In the cloud storage, load balancing is a key issue. It would consume a lot ofcost to maintain load information, since the system is too huge to timely disperse load. Load balancing is one of themain challenges in cloud computing which is required to distribute the dynamic workload across multiple nodes toensure that no single node is overwhelmed. It helps in optimal utilization of resources and hence in enhancing theperformance of the system. A few existing scheduling algorithms can maintain load balancing and provide betterstrategies through efficient job scheduling and resource allocation techniques as well. In order to gain maximum profitswith optimized load balancing algorithms, it is necessary to utilize resources efficiently. In this paper, we surveyedmultiple algorithms for load balancing for Cloud Computing. We discussed the challenges that must be addressed toprovide the most suitable and efficient load balancing algorithms
  • 关键词:Cloud Computing; Load Balancing; Task Scheduling; Cloud Storage; Replications
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