Although there is prior work on energy conservation in datacenters, we identify a new approach based on the synergy between virtual machines and statistical machine learning, and we observe that constrained energy conservation can improve hardware reliability. We give initial results on a cluster that reduces energy costs by a factor of 5, reduces integrated circuit failures by a factor of 1.6, and disk failures by a factor of 5. We propose research milestones to generalize our results and compare them with recent related work.
Title
A Case for Adaptive Datacenters to Conserve Energy and Improve Reliability
Published
2008-09-26
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
EECS-2008-127
Type
Text
Extent
7 p
Archive
The Engineering Library
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