|April 12, 2012 |
ECE Department Seminar: Energy Adaptive Computing
Dr. Krishna Kant
George Mason University
National Science Foundation
Time: 3:00 PM -- 4:00 PM, April 12th (Thursday), 2012
Location: Kiddie, Room 228
Energy efficiency is well recognized as a critical requirement of computing system design for a variety of reasons including cost, power density, and environmental impact. In this talk, I will motivate an approach that goes beyond energy efficiency and more directly addresses the sustainability issues. The key notion in this approach is smart adaptation of systems to the available energy. I will first motivate the need for energy adaptive computing and then discuss its application in a variety of environments. I will also elaborate on energy adaptation mechanisms in multi-tier data centers, considering computing, network, and storage aspects. I will then show how energy adaptation can be applied to peer-to-peer environments. Finally, I will discuss some broader issues regarding energy adaptation in the context of both the cyber-infrastructure and broader energy consuming cyber-physical systems.
Krishna Kant is currently a Research Professor at the Center for Secure Information Systems at George Mason University, Fairfax VA. He is also serving as a program director in the Computer and Network Division (CNS) at the National Science Foundation. At NSF, he runs the Computer Systems Research (CSR) program and is actively involved in driving the NSF wide SEES (Science, Engineering, and Education for Sustainability) program. His current areas of research include robustness in the Internet, cloud computing security, and sustainable computing. He carries 30 years of combined experience in academia, industry, and government. He has published in a wide variety of areas in computer science including fault tolerant computing, traffic characterization, telecommunication systems, architectural modeling, Internet routing and name resolution, and data center management, among others. He has authored a graduate textbook on performance modeling of computer systems. He received his Ph.D. degree in 1981 from University of Texas at Dallas. He has since held positions at Northwestern University, Pennsylvania State University, Bell Labs, Bellcore (Telcordia), Intel, NSF, and GMU.
For more information please contact:
Dr. Yu-Dong Yao
Professor & Department Director, IEEE Fellow (RESEARCH INTERESTS: Wireless communications and networks, cognitive and software-defined radio)