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

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An Energy-Efficient Framework for Large-Scale Parallel Storage Systems (2007)

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by Ziliang Zong , Matt Briggs , Xiao Qin

Venue:	Proc. Int'l Parallel and Distributed Processing Symp
Citations:	11 - 7 self

BibTeX

@INPROCEEDINGS{Zong07anenergy-efficient,
    author = {Ziliang Zong and Matt Briggs and Xiao Qin},
    title = {An Energy-Efficient Framework for Large-Scale Parallel Storage Systems},
    booktitle = {Proc. Int'l Parallel and Distributed Processing Symp},
    year = {2007}
}

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Abstract

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. 1.

Keyphrases

large-scale parallel storage system energy-efficient framework buffer-disk scheduling algorithm disksim simulator show trace-driven simulation result disk power management scheme idle data disk novel buffer-disk various component large-scale cluster system huge energy consumption storage subsystem large number data center energy efficiency critical bottleneck energy-efficient parallel storage system new data center new framework

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