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Temperature management in data centers: why some (might) like it hot

Content Provider	ACM Digital Library
Author	Hwang, Andy A. Amvrosiadis, George Schroeder, Bianca El-Sayed, Nosayba Stefanovici, Ioan A.
Abstract	The energy consumed by data centers is starting to make up a significant fraction of the world's energy consumption and carbon emissions. A large fraction of the consumed energy is spent on data center cooling, which has motivated a large body of work on temperature management in data centers. Interestingly, a key aspect of temperature management has not been well understood: controlling the setpoint temperature at which to run a data center's cooling system. Most data centers set their thermostat based on (conservative) suggestions by manufacturers, as there is limited understanding of how higher temperatures will affect the system. At the same time, studies suggest that increasing the temperature setpoint by just one degree could save 2-5% of the energy consumption. This paper provides a multi-faceted study of temperature management in data centers. We use a large collection of field data from different production environments to study the impact of temperature on hardware reliability, including the reliability of the storage subsystem, the memory subsystem and server reliability as a whole. We also use an experimental testbed based on a thermal chamber and a large array of benchmarks to study two other potential issues with higher data center temperatures: the effect on server performance and power. Based on our findings, we make recommendations for temperature management in data centers, that create the potential for saving energy, while limiting negative effects on system reliability and performance.
Starting Page	163
Ending Page	174
Page Count	12
File Format	PDF
ISBN	9781450310970
DOI	10.1145/2254756.2254778
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-06-11
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Fans Temperature Energy Memory Cpu Hard drive Dram Data center Performance Reliability Lse
Content Type	Text
Resource Type	Article

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