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TITLE: DRESS Code For The Storage Cloud

SPEAKER: Salim El Rouayheb (UC Berkeley)

DATE: 2:00 - 3:00 PM, Wednesday, March 2, 2011

LOCATION: Yosemite, 3L

ABSTRACT:
"Fifteen young ladies in a school walk out three abreast for seven days in succession; it is required to arrange them daily, so that no two will walk twice abreast." Thomas Kirkman posed this problem in 1850 in The Lady's and Gentleman's Diary thereby starting the area of combinatorial design theory. In this talk, I will show how solving Kirkman's schoolgirls problem, and other problems that are alike, is at the heart of constructing low-latency and bandwidth-efficient codes for distributed cloud storage. We call these codes Distributed REplication-based Simple Storage (DRESS) codes.

DRESS codes have linear decoding complexity and permit fast 'uncoded' repair from failures with minimum bandwidth and Disk I/O overhead. The design of optimal DRESS codes translates into interesting combinatorial problems with many open questions. We present optimal code constructions based on projective planes and Steiner systems. We also propose randomized constructions for scalable DRESS codes using a bins-and-balls approach. When the security in the cloud is breached and some nodes start acting maliciously, our codes do not only guarantee data integrity, but also help catch the bad guys.

Joint work with Sameer Pawar, Nima Noorshams, and Kannan Ramchandran.

BIOGRAPHY:
Salim El Rouayheb is a postdoctoral research fellow with the Electrical Engineering and Computer Sciences (EECS) Department, University of California, Berkeley. His research interests lie in the broad area of communications with a focus on reliable and secure distributed information systems and on the algorithmic and information-theoretic aspects of networking.

He received the Diploma degree in electrical engineering from the Lebanese University, Roumieh, Lebanon, in 2002, and the M.S. degree in computer and communications engineering from the American University of Beirut, Lebanon, in 2004. He received the Ph.D. degree in electrical engineering from Texas As&M University, College Station, in 2009. During summer 2006, he was an intern at the Mathematics of Communication Research Department at Bell Labs. He received the Charlie S. Korban award for outstanding graduate student, and the Texas Telecommunication Engineering Consortium (TXTEC) Graduate Fellowship.

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