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Write off-loading: Practical power management for enterprise storage
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ACM Transactions on Storage (TOS) archive
Volume 4 ,  Issue 3  (November 2008) table of contents
Article No. 10  
Year of Publication: 2008
ISSN:1553-3077
Authors
Dushyanth Narayanan  Microsoft Research, Cambridge, UK
Austin Donnelly  Microsoft Research, Cambridge, UK
Antony Rowstron  Microsoft Research, Cambridge, UK
Publisher
ACM  New York, NY, USA
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ABSTRACT

In enterprise data centers power usage is a problem impacting server density and the total cost of ownership. Storage uses a significant 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 significant 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 efficiently at the block level, without sacrificing 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 further increases the savings to 45--60%.


REFERENCES

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11
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Intel Corporation. 2006. Dual-Core Intel® Xeon® Processor 5100 Series Datasheet. Intel Corporation, Reference Number: 313355-002.
 
15
16
 
17
Microsoft. 2002. Event tracing. http://msdn.microsoft.com/library/. Platform SDK: Performance Monitoring, Event Tracing.
 
18
19
 
20
21
 
22
Ruemmler, C. and Wilkes, J. 1993. UNIX disk access patterns. In Proceedings of the USENIX Winter Technical Conference, San Diego, CA.
 
23
Samsung. 2007. NAND flash-based solid state disk product data sheet.
 
24
SanDisk. 2007. SSD UATA 5000 1.8” data sheet. Document No. 80-11-00001.
 
25
 
26
Seagate Technology LLC. 2005. Cheetah 15K.4 SCSI Product Manual, Rev. D ed. Seagate Technology LLC, 920 Disc Drive, Scotts Valley, CA. Publication number: 100220456.
 
27
 
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29
 
30
 
31
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Collaborative Colleagues:
Dushyanth Narayanan: colleagues
Austin Donnelly: colleagues
Antony Rowstron: colleagues