The work was partially supported by the National Natural Science Foundation of China under Grant Nos, 61379037 and 61472376, and the Oversea Academic Training Funds (OATF) sponsored by the University of Science and Technology of China. Acknowledgements We would like to thank the anonymous reviewers and editors for their valuable sug- gestions and comments to improve the quality of the paper.
Energy consumption has been a critical issue for data storage systems, especially for modern data centers. A recent survey has showed that power costs amount to about 50%of the total cost of ownership in a typical dat...
Supported by the National Natural Science Foundation of China under Grant Nos.60970038,61272148;the Science and Technology Plan Project of Hunan Province of China under Grant No.2012GK3075;the Scientific Research Fund of Hunan Provincial Education Department of China under Grant No.13B015
With the development of cloud computing, more and more data-intensive workflows have been deployed on virtualized datacenters. As a result, the energy spent on massive data accessing grows rapidly. In this paper, an e...