Journal of South China University of Technology (Natural Science Edition) ›› 2014, Vol. 42 ›› Issue (1): 104-110.doi: 10.3969/j.issn.100-565X.2014.01.018

• Computer Science & Technology • Previous Articles     Next Articles

Management Method of Energy Consumption Optimization Nodes in Cloud Storage System

Lin Wei- wei1 He Pin- jia1 Liu Bo2   

  1. 1.School of Computer Science and Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China;2.School of Computer,South China Normal University, Guangzhou 510631,Guangdong,China
  • Received:2013-07-16 Revised:2013-10-10 Online:2014-01-25 Published:2013-12-01
  • Contact: 林伟伟(1980-)，男，博士，副教授，主要从事分布式计算、云计算、移动互联网等的研究． E-mail:linww@scut.edu.cn
  • About author:林伟伟(1980-)，男，博士，副教授，主要从事分布式计算、云计算、移动互联网等的研究．
  • Supported by:

    国家自然科学基金资助项目(61202466);广东省科技计划项目(2012B010100030);广东省自然科学基金资助项目(10451064101005155， S2011010001754);华南理工大学中央高校基本科研业务费专项资金重点资助项目(2013ZZ0044)

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Abstract:

In order to reduce the energy consumption of cloud storage systems,a method to save energy by turningoff some storage nodes in inactive periods is proposed.Then,for the purpose of guaranteeing the availability of datawhen part of storage nodes are turned off,an auxiliary node- based greedy algorithm is designed to properly selectstorage nodes to form a turned- off node set.Moreover,an improved auxiliary node- based greedy algorithm for hete-rogeneous storage systems is proposed for the optimization of energy consumption.Simulated results show that theimproved auxiliary nod- based greedy algorithm is effective because it greatly reduces the energy consumption of he-terogeneous cloud storage systems and outperforms the conventional greedy algorithm.

Key words: data management, cloud storage, energy consumption optimization, greedy algorithm