Compression enables us to shift the computation load from IO to CPU. In modern datacenters where energy efficiency is a growing concern, the benefits of using compression have not been completely exploited. We develop a decision algorithm that helps MapReduce users identify when and where to use compression. For some jobs, using compression gives energy savings of up to 60%. As MapReduce represents a common computation framework for Internet datacenters, we believe our findings will provide signficant impact on improving datacenter energy efficiency.
Title
To Compress or Not to Compress - Compute vs. IO Tradeoffs for MapReduce Energy Efficiency
Published
EECS Department, University of California, University of California at Berkeley, Berkeley, California, March 29, 2010
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
EECS-2010-36
Type
Text
Extent
8 p
Archive
The Engineering Library
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