Engineers Develop Techniques to Boost Efficiency of Cloud Computing Infrastructure
March 9, 2013
Grazed from ScienceDaily. Author: Editorial Staff.
Computer scientists at the University of California, San Diego, and Google have developed a novel approach that allows the massive infrastructure powering cloud computing as much as 15 to 20 percent more efficiently. This novel model has already been applied at Google. Researchers presented their findings at the IEEE International Symposium on High Performance Computer Architecture conference Feb. 23 to 27 in China.
Computer scientists looked at a range of Google web services, including Gmail and search. They used a unique approach to develop their model. Their first step was to gather live data from Google’s warehouse-scale computers as they were running in real time. Their second step was to conduct experiments with data in a controlled environment on an isolated server. The two-step approach was key, said Lingjia Tang and Jason Mars, faculty members in the Department of Computer Science and Engineering at the Jacobs School of Engineering at UC San Diego…
"These problems can seem easy to solve when looking at just one server," said Mars. "But solutions do not scale up when you’re looking at hundreds of thousands of servers." The work is one example of the research Mars and Tang are pursuing at the Clarity Lab at the Jacobs School, their newly formed research group. Clarity is an acronym for Cross-Layer Architecture and Runtimes…
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