Engineers develop techniques to improve efficiency of cloud infrastructure by as much as 20 percent
Grazed from Phys.org. 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 to run more efficiently. The new approach can make these warehouse-scale computers run 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."…

