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《Journal of South China University of Technology(Natural Science Edition)》 2014-01
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Management Method of Energy Consumption Optimization Nodes in Cloud Storage System

Lin Wei-wei;He Pin-jia;Liu Bo;School of Computer Science and Engineering,South China University of Technology;School of Computer,South China Normal University;  
In order to reduce the energy consumption of cloud storage systems,a method to save energy by turning off some storage nodes in inactive periods is proposed. Then,for the purpose of guaranteeing the availability of data when part of storage nodes are turned off,an auxiliary node-based greedy algorithm is designed to properly select storage nodes to form a turned-off node set. Moreover,an improved auxiliary node-based greedy algorithm for heterogeneous storage systems is proposed for the optimization of energy consumption. Simulated results show that the improved auxiliary nod-based greedy algorithm is effective because it greatly reduces the energy consumption of heterogeneous cloud storage systems and outperforms the conventional greedy algorithm.
【Fund】: 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)
【CateGory Index】: TP333
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