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  • 标题:Scheduling the family jobs using Genetic algorithm for Big Data Clouds
  • 本地全文:下载
  • 作者:T. Uma Devi ; G. Divya Zion ; U. Supriya
  • 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:4
  • 页码:1857-1867
  • 出版社:TechScience Publications
  • 摘要:Cloud is a capable of cost and service oriented computing platform in several fields like science,engineering, business and social networking for delivering the resources on demand. Big data meansmany things to many people, and big data is similar to small data but bigger in size. Big dataclouds is a new generation data. Map reduce programming model which is used to practice theprocess with a very large data sets in an actual fact. Map reduce model is primarily for minimizing oreliminating data relocation outlay between computing assets and data nodes. Such models howeverconsiderably perform well in the cluster mode, but are infelicitous for the platforms having thedisengage data storage and computing resources. In this paper, we propose a genetic algorithm based dataaware group scheduler for big data cloud where the data is separated computational and data services areoffered as services.
  • 关键词:Big Data; Cloud computing; Genetic algorithm; Big Data Clouds.
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