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Write off-loading: Practical power management for enterprise storage

Write off-loading: Practical power management for enterprise storage Write Off-Loading: Practical Power Management for Enterprise Storage DUSHYANTH NARAYANAN, AUSTIN DONNELLY, and ANTONY ROWSTRON Microsoft Research, Cambridge, UK In enterprise data centers power usage is a problem impacting server density and the total cost of ownership. Storage uses a signi cant fraction of the power budget and there are no widely deployed power-saving solutions for enterprise storage systems. The traditional view is that enterprise workloads make spinning disks down ineffective because idle periods are too short. We analyzed block-level traces from 36 volumes in an enterprise data center for one week and concluded that signi cant idle periods exist, and that they can be further increased by modifying the read/write patterns using write off-loading. Write off-loading allows write requests on spun-down disks to be temporarily redirected to persistent storage elsewhere in the data center. The key challenge is doing this transparently and ef ciently at the block level, without sacri cing consistency or failure resilience. We describe our write off-loading design and implementation that achieves these goals. We evaluate it by replaying portions of our traces on a rack-based testbed. Results show that just spinning disks down when idle saves 28 “36% of energy, and write off-loading http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM Transactions on Storage (TOS) Association for Computing Machinery

Write off-loading: Practical power management for enterprise storage

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References (36)

Publisher
Association for Computing Machinery
Copyright
Copyright © 2008 by ACM Inc.
ISSN
1553-3077
DOI
10.1145/1416944.1416949
Publisher site
See Article on Publisher Site

Abstract

Write Off-Loading: Practical Power Management for Enterprise Storage DUSHYANTH NARAYANAN, AUSTIN DONNELLY, and ANTONY ROWSTRON Microsoft Research, Cambridge, UK In enterprise data centers power usage is a problem impacting server density and the total cost of ownership. Storage uses a signi cant fraction of the power budget and there are no widely deployed power-saving solutions for enterprise storage systems. The traditional view is that enterprise workloads make spinning disks down ineffective because idle periods are too short. We analyzed block-level traces from 36 volumes in an enterprise data center for one week and concluded that signi cant idle periods exist, and that they can be further increased by modifying the read/write patterns using write off-loading. Write off-loading allows write requests on spun-down disks to be temporarily redirected to persistent storage elsewhere in the data center. The key challenge is doing this transparently and ef ciently at the block level, without sacri cing consistency or failure resilience. We describe our write off-loading design and implementation that achieves these goals. We evaluate it by replaying portions of our traces on a rack-based testbed. Results show that just spinning disks down when idle saves 28 “36% of energy, and write off-loading

Journal

ACM Transactions on Storage (TOS)Association for Computing Machinery

Published: Nov 1, 2008

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