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  • 标题:Improved Load Balancing Algorithm for Reducing Idle Iteration in Virtual Machine on Hadoop Distributed File System (HDFS)
  • 本地全文:下载
  • 作者:G Kanmani ; E Jayabalan
  • 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:6
  • 页码:11661
  • DOI:10.15680/IJIRCCE.2017.0506116
  • 出版社:S&S Publications
  • 摘要:The growing technology of cloud computing established for the worldwide users. The every user likes toutilize the delightful cloud services. Because cloud computing provide their services in user friendly as well as somelimited amount of cost and its flexibility. In generally cloud functions their mass storage in remote location andaccessing for remote server in virtualization technology. To the behavior of cloud at initially developed for store andretrieving for enormous data in virtually. In any type of organization accessing their data at any location based on theinternet. Cloud computing mass storage server maintenance is critical task since the developing users are increase forevery day by day. Load balancing is vital role for the cloud computing. Without load balancing is critical task foraccessing cloud services. In much organization provide number of features based rendering services. The proposedalgorithm is support for proper uploading files and scheduling the files in the server simultaneously. To the schedulingis based on huge data storage via the load balancing level and finally distributing load to the consumers as well ascustomers. This approach stands for mainly reducing task idle iteration in the database and minimizing response timefor comparing physical machine into virtual machine.
  • 关键词:Load Balancing; Virtualization; Online Mode Heuristic Algorithm(OMHA); Map reduce;Skewness;Clustering; Scheduling; Idle Iteration.
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