FC 2016

The Challenges of Feedback Computing at Cloud Scale

Abstract: Increasing demands on cloud services are pressing the performance and efficiency of its infrastructure. Energy-efficient data centers require coordination between computing fabric and physical facility. Beyond individual data centers, demands must be balanced among distributed edge sites and centralized mega-data centers. In this talk, we will discuss challenges on building high-performance and energy efficient cloud infrastructure, which require sensing, modeling, and controlling systems at the Internet scale. There are several techniques to address massively distributed entities, localized information, and cross-domain interactions, yet plenty of research opportunities are ahead.

About the Speaker: 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, location, 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 energy efficient cloud computing. Dr. Liu is an Associate Editor of ACM Trans. on Sensor Networks, has been an Associate Editor of the IEEE Trans. on Mobile Computing, and has chaired a number of top tier conferences. Dr. Liu received his Ph.D. degree from Electrical Engineering and Computer Sciences, UC Berkeley in 2001, and his Master and Bachelor degrees from Dept. of Automation, Tsinghua University in 1996 and 1993, respectively. From 2001 to 2004, he was a research scientist at Palo Alto Research Center (formerly Xerox PARC).