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Identifying Trending Stories on Twitter and Optimal Temperature For Data Center Computers

By ­niversity of Toronto Scarborough

July 30, 2012

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University of Toronto Scarborough (UTSC) professor Bianca Schroeder and students Nosayba El-Sayed, Ioan Stefanovici, George Amvrosiadis, and Andy A. Hwang received a best paper award at the recent ACM Sigmetrics conference in London for research on cooling computers in data centers.

Their paper suggested that allowing warmer temperatures than are normally recommended might be justifiable. The researchers collected data from a large number of centers and ran tests to measure the effect of temperature performance. Their results showed that higher temperatures either were not associated with negative effects on the equipment, or else the negative effects were smaller than predicted. "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," the authors say.

UTSC researchers also have received accolades for a paper on identifying trending stories on Twitter in an efficient way, making their approach useful in real time. Professor Nick Koudas and graduate students Albert Angel and Nikos Sarkas have won the Best Paper award for the Very Large Databases Conference, and will present their research at the gathering in Istanbul in August.

From University of Toronto Scarborough 
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