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Hotter might be better at energy-intensive data centers

Wed, 09/26/2012 - 4:43am
New research suggests that turning up the temperature could save energy with little or no increased risk of equipment failure

   

As data centers continue to come under scrutiny for the amount of energy they use, researchers at University of Toronto Scarborough (UTSC) have a suggestion: turn the air conditioning down.

   

"We see our results as strong evidence that most organizations could run their data centers hotter than they currently are without making significant sacrifices in system reliability," says Bianca Schroeder, a UTSC assistant professor of computer science.

   

As data centers have proliferated they have required more energy, accounting now for about 1 percent of global electricity usage. A sizeable fraction of that is the cooling necessary to keep the machinery functioning properly.

   

But in a paper called Temperature Management in Data Centers: Why Some (Might) Like It Hot, Schroeder and her UTSC colleagues found that warmer temperatures than are normally recommended might be able to save energy without negatively impacting equipment reliability and longevity.

   

Data centres typically operate at temperatures from 20C to 22C. Estimates show that just 1 degree increase in temperature could save 2 to 5% of the energy the centres consume. Schroeder says that most data centres could probably increase temperatures much more than that.

   

To conduct the study, the researchers collected data from data centers run by Google, Los Alamos National Laboratory, and others. They also directly tested the effect of temperature on equipment performance in their lab. Their data showed that higher temperatures either weren't associated with negative effects on the equipment, or else the negative effects were smaller than predicted.

   

The paper can be found at: http://dl.acm.org/citation.cfm?id=2254778. It was presented at the ACM Sigmetrics conference in London in June.

   

It was co-authored by Nosayba El-Sayed, Ioan Stefanovici, George Amvrosiadis and Andy A. Hwang.

Source: University of Toronto Scarborough

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