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Information Theory Seminar


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TITLE: Coding Techniques for Distributed Storage

SPEAKER: Alex Dimakis (California Institute of Technology)

DATE: 3:00 - 4:00 PM, Monday, May 18, 2009

LOCATION: Yosemite, 3L

ABSTRACT:
Distributed storage schemes for data centers and peer-to-peer networks often use erasure coding to introduce redundancy for robustness. We introduce novel network coding techniques that can surprisingly reduce the communication required to maintain a storage system compared to standard Reed-Solomon codes used in current architectures. We present novel information theoretic performance bounds and explicit network codes that outperform known storage coding techniques. We show the connections of the storage repair problem to matroid theory and a computer search approach to finding optimal storage codes.

BIOGRAPHY:
Alex Dimakis will be joining USC Electrical Engineering department as an assistant professor after completing a postdoctoral fellowship at the Center for Mathematics of Information at Caltech. He received his Ph.D. in 2008 and M.S. degree in 2005 in electrical engineering and computer science, both from the University of California, Berkeley. He received the Eli Jury award in 2008, two outstanding paper awards, the UC Berkeley Regents Fellowship and the Microsoft Research Fellowship. His research interests include communications, coding theory and signal processing, with a current focus on network coding, message passing algorithms and sparse graph codes.

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