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An Energy-Efficient Framework for Large-Scale Parallel Storage Systems

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4 Author(s)
Ziliang Zong ; Dept. of Comput. Sci., New Mexico Inst. of Min. & Technol., Socorro, NM ; Briggs, M. ; O'Connor, N. ; Xiao Qin

Huge energy consumption has become a critical bottleneck for further applying large-scale cluster systems to build new data centers. Among various components of a data center, storage subsystems are one of the biggest consumers of energy. In this paper, we propose a novel buffer-disk based framework for large-scale and energy-efficient parallel storage systems. To validate the efficiency of the proposed framework, a buffer-disk scheduling algorithm is designed and implemented. Our algorithm can provide more opportunities for underlying disk power management schemes to save energy by keeping a large number of idle data disks in sleeping mode as long as possible. The trace-driven simulation results based on a revised disksim simulator show that this new framework can significantly improves the energy efficiency of large-scale parallel storage systems.

Published in:

Parallel and Distributed Processing Symposium, 2007. IPDPS 2007. IEEE International

Date of Conference:

26-30 March 2007