Seminar by Supratim Ray

Energy Adaptation in Storage Systems

Krishna Kant
Temple University, Philadelphia

    Date:    Wednesday, September 17th, 2014
    Time:    11:00 AM
    Venue:   RM101.

Abstract:

Energy adaptation is an essential element in making the computing systems more sustainable, and refers to the need for the workload to alter its energy needs in accordance with the either the availability of energy (normally an issue with locally generated renewable energy) or ability of the system to consume energy (due to thermal, cooling or power circuit limitations). As a complement to our past research that dealt with computing, this research focuses on the storage subsystem. In this talk, I will first provide an overview of energy adaptation and then focus on how it can be accomplished in storage systems. I will describe a specific mechanism for energy adaptive de-duplication of virtual machine images. I will also talk about a prototype system that we have built, called flexstore, and discuss the ability of flexstore to do energy adaptation with minimal latency impact with respect to both IO and replica management operations.

About the speaker:

Krishna Kant is currently a professor in the Computer and Information Science department at Temple University, Philadelphia. Earlier, he was a research professor at the Center for Secure Information Systems at George Mason University, Fairfax VA and also served as a program director in the Computer and Network Division (CNS) at the National Science Foundation (NSF). At NSF, he ran the Computer Systems Research (CSR) program and was 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 33 years of combined experience in academia, industry, and government. He has published in a wide variety of areas in computer science and 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. He is a fellow of IEEE.

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