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CSE Colloquium: Energy Saving in Data Centers

Monday, June 12, 2017, 11:30 AM - 1:00 PM
ERB 228

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U.S. data center electricity consumption grew by roughly 36% between 2005 and 2010 to about 77,728,000 MWh/year, or 12 billion U.S. dollars. Based on current estimates, they are projected to consume approximately 73 billion kWh in 2020. The last decade has also brought an explosive growth of delay-sensitive interactive services that have become an integral part of our lives and constituted an increasingly high portion of data center workloads. This talk presents our current research efforts to reduce energy consumption in data center servers for latency sensitive applications while satisfying the tail latency constraints. We apply both DVFS and CPU sleep states intelligently to save energy. We also introduce an approximation technique that can be applied to interactive applications, like web search, to further reduce the power consumption while maintaining satisfactory quality. Finally, our current research into power saving in the data center network (DCN) through aggregation techniques is also presented.

Laxmi N. Bhuyan is a distinguished professor in Computer Science and Engineering at the University of California, Riverside. He has published more than 250 research papers in the areas of multiprocessor architectures, high-performance computing, network packet processing, and performance evaluation. He is a Fellow of the IEEE, ACM, and AAAS. 

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