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  • 标题:Optimization Model of Reliable Data Storage in Cloud Environment Using Genetic Algorithm
  • 本地全文:下载
  • 作者:Feng Liu ; Haitao Wu ; Xiaochun Lu
  • 期刊名称:International Journal of Grid and Distributed Computing
  • 印刷版ISSN:2005-4262
  • 出版年度:2014
  • 卷号:7
  • 期号:6
  • 页码:175-190
  • DOI:10.14257/ijgdc.2014.7.6.14
  • 出版社:SERSC
  • 摘要:Massive data storage is one of the great challenges for cloud computing service, and reliable storage of sensitive data directly affects quality of storage service. In this paper, based on analysis of data storage process in cloud environment, the cost of massive data storage is considered to be comprised of data storage price, data migration and communication; and the storage reliability consists of data transmission reliability and hardware dependability. A multi-objective optimization model for reliable massive storage is proposed, in which storage cost and reliability are the objectives. Then, a genetic algorithm for solving the model is designed. Finally, experimental results indicate that the proposed model is positive and effective.
  • 关键词:Cloud storage; multi-objective optimization model; genetic algorithm; reliable ; storage
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