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RTSS 2013 | Keynote Speech

Keynote Speech

Taming the Energy Hog in Cloud Infrastructure by Dr. Jie Liu

Presentation

Abstract

To meet the ever growing demands of Internet and cloud services, the data center industry is experiencing rapid expansion. Data centers consume billions of KWh electricity every year, and each can take hundreds of million dollars to build. Most data centers are conservatively provisioned and operated to achieve high reliability, resulting in wasted resources and high cost. In this talk, we take a cyber-physical system view of sensing and control data centers and discuss opportunities and our experiences. We have designed and deployed wireless environmental sensors to monitor heat distribution in server rooms and software-based services to estimate server power consumption. We build models that bridge the cyber dynamics of computing and physical dynamics of the facility. The findings are used to advance the way equipment are provisioned, loads are distributed, and systems are operated. Finally, I will discuss a few challenges for scaling into the future, with alternative energy sources and alternative data center architecture.

Speaker Biography

Dr. Jie Liu is a Principal Researcher at Microsoft Research, Redmond, WA, and the manager of its Sensing and Energy Research Group. He is an ACM Distinguished Scientist. His research interests root in understanding and managing the physical properties of computing. Examples include timing, energy, and the awareness of and impact on the physical world. He has published broadly in areas like sensor networks, embedded systems, ubiquitous computing, and data center energy management. Dr. Liu is an Associate editor of ACM Trans. on Sensor Networks, and chaired a number of top tier conferences. Among other recognitions, he received the Leon Chua Award from UC Berkeley in 2001, Technology Advance Award from (Xerox) PARC in 2003, and a Gold Star Award from Microsoft in 2008. Dr. Liu received his Ph.D. degree from Electrical Engineering and Computer Sciences, UC Berkeley in 2001, and his Master and Bachelor degrees from Automation, Tsinghua University, Beijing, China.