DocumentCode :
2977936
Title :
REST: A Redundancy-Based Energy-Efficient Cloud Storage System
Author :
Hongyan Li
Author_Institution :
Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2012
fDate :
14-16 Dec. 2012
Firstpage :
537
Lastpage :
542
Abstract :
Energy consumption has increasingly become a serious problem in contemporary data centers. The electricity bill contributes a significant fraction of the Total Cost of Ownership (TCO), and it has been predicted to increase at an even faster pace in the following years. In an attempt to reduce the energy consumption in cloud infrastructures, we propose REST, an energy-efficient cloud storage built upon an open source cluster-based object store similar to GFS. It achieves high energy-efficiency by cleverly exploiting the redundancy and its asymmetric accesses existing in the system without compromising inherent well-established mechanisms, while maintaining reasonable performance level. By slightly altering the data-layout policy, REST can safely keep a large amount of redundant storage nodes in standby mode or even powered off most of the time. Deploying a sophisticated real-time workload monitor, it provides flexibility to power up standby or powered down nodes to accommodate the variations in workloads. In addition, trade-offs between energy and performance can be conveniently made by simply adjusting a trade-off metric in REST. The File Bench experimental results have demonstrated that power savings can be as high as 29%, still providing comparable or even better performance.
Keywords :
cloud computing; computer centres; energy conservation; power aware computing; storage management; REST system; TCO; cloud infrastructure; data center; data-layout policy; energy consumption; open source cluster-based object store; power savings; redundancy-based energy-efficient cloud storage system; redundant storage node; total cost-of-ownership; Cloud computing; Distributed databases; Energy efficiency; Energy storage; Kernel; Servers; cloud storage; data centre; distributed storage; energy efficient; power saving;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Computing, Applications and Technologies (PDCAT), 2012 13th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-4879-1
Type :
conf
DOI :
10.1109/PDCAT.2012.118
Filename :
6589333
Link To Document :
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