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Engineers Develop Techniques to Improve Efficiency of Cloud Computing Infrastructure

UCSD News (CA) (03/06/13) Ioana Patringenaru

Researchers at the University of California, San Diego (UCSD) and Google say they have developed a method for running cloud computing’s infrastructure up to 20 percent more efficiently.  The researchers first gathered live data from Google’s computers, and then conducted experiments with the data in a controlled environment on an isolated server.  “If we can bridge the current gap between hardware designs and the software stack and access this huge potential, it could improve the efficiency of Web service companies and significantly reduce the energy footprint of these massive-scale data centers,” says UCSD’s Lingjia Tang.  After analyzing the data, the researchers found that the application ran significantly better when it accessed data located nearby on the server, instead of in remote locations.  Although data location is important, the researchers also found that competition for shared resources within a server also plays a role.  Based on these results, the researchers developed a metric, called the NUMA score, which determines how well random-access memory is allocated in warehouse-scale computers.


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