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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
ACM Transactions on Storage (TOS) – Association for Computing Machinery
Published: Nov 1, 2008
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