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  • 秦小麟 ( 教授 )

    的个人主页 http://faculty.nuaa.edu.cn/qxz/zh_CN/index.htm

  •   教授
论文成果 当前位置: 中文主页 >> 科学研究 >> 论文成果
Energy-aware processing of big data in homogeneous cluster

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所属单位:计算机科学与技术学院/人工智能学院/软件学院
发表刊物:SIGNAL IMAGE AND VIDEO PROCESSING
关键字:Energy saving Big data Homogeneous cluster Data placement strategy Workload balance
摘要:The size of data centers is becoming larger to deal with the exponential data growth, and the energy consumption challenges the services providers and the environment. Various data placement strategies were developed to reduce the energy consumption of processing big data on the level of storage system, but they were typically developed for specific applications and storage medium. This paper proposes an energy-aware algorithm EABD of processing big data in homogeneous cluster with general data storage. We show that a variation of this optimization can be reduced to set cover problem, and a heuristic algorithm is proposed to reduce the energy consumption by selecting proper nodes and assigning balanced workload to each selected node. This algorithm will not be influenced by the data placement strategies and storage medium. Simulation results show that our algorithm significantly reduces energy consumption in different situations.
ISSN号:1863-1703
是否译文:否
发表时间:2017-02-01
合写作者:Ding, Youwei,F70206059,刘亮,Wang, Taochun
通讯作者:秦小麟

 

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