Networks of Reliable Distributed Storage

Prof. Arya Mazumdar
University of Minnesota

Abstract: 
In the large-scale distributed storage systems - cloud storage and big databases - servers fail rather frequently for variety of reasons ranging from link overload to software crash. These networks of storage must allow quick repair and support fast updates and queries at the same time. In the classical optimization problems of information/coding theory, these "local" processing parameters are missing.  

In this talk we describe new (graphical) models for large scale repairable networked storage systems that account for the topology of storage networks and construct reliable codes that are both update-efficient and locally repairable.

Bio:
Arya Mazumdar is an assistant professor in the University of Minnesota - Twin Cities (UMN). Before coming to UMN, he was a postdoctoral scholar (2011-12) at the Massachusetts Institute of Technology. Arya received his Ph.D. from the University of Maryland, College Park, in 2011. He spent the summers of 2008 and 2010 at the Hewlett-Packard Laboratories, Palo Alto, CA, and IBM Almaden Research Center, San Jose, CA, respectively.

Arya is a winner of the 2010 IEEE ISIT Best Student Paper Award, and the recipient of the 2011 Distinguished Dissertation Award at University of Maryland. Arya’s research interests include information and coding theory and their applications to storage, security and data processing.