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Temperature Management in Data Centers: Why Some (Might) Like It Hot
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BibTeX
@MISC{El-sayed_temperaturemanagement,
author = {Nosayba El-sayed and Ioan Stefanovici and George Amvrosiadis and Andy A. Hwang and Bianca Schroeder},
title = {Temperature Management in Data Centers: Why Some (Might) Like It Hot},
year = {}
}
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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.
Keyphrases
data center temperature management large fraction system reliability field data hardware reliability multi-faceted study memory subsystem setpoint temperature potential issue experimental testbed temperature setpoint different production environment large collection large body negative effect limited understanding world energy consumption storage subsystem significant fraction thermal chamber server performance energy consumption data center cooling server reliability key aspect large array consumed energy data center temperature carbon emission
