In distributed storage systems, large amounts of data are distributed across many nodes, which are prone to failure. In this talk, I'll survey regenerating codes, which are a type of error correcting code designed to protect data in distributed systems from failures, while at the same time enabling extremely efficient repair of missing data. I'll give the basic framework of regenerating codes, and discuss some recent research aimed at establishing theoretical limitations regenerating codes from an algebraic perspective.
Biography
Mary Wootters is an assistant professor of Computer Science and Electrical Engineering at Stanford University. She received a PhD in mathematics from the University of Michigan in 2014 and a BA in math and computer science from Swarthmore College in 2008; she was an NSF postdoctoral fellow at Carnegie Mellon University from 2014 to 2016. Her research interests include randomized algorithms, coding theory, dimension reduction, matrix completion, and sparse signal processing
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Last updated on 03/22/2015