ECBE Seminar: Load Balancing in Large Data Storage Systems

Bin Li
Assistant Professor
Location: Kelley 102
Date/Time: Wednesday, September 28th, 2016 at 2:00 p.m.

Files in large storage systems are either replicated or coded at multiple servers to protect against
server failures. Load balancing can be used to exploit this redundancy in storage to reduce mean
file-access delay. It is easy to show that at light loads (i.e., when the rate of file access requests is
small), coding leads to smaller mean file-access delay than replication. In this talk, we will use
mean-field analysis to show that, for a given storage capacity per file, coding strictly outperforms
replication at all traffic loads.

Bin Li received his B.S. degree in Electronic and Information Engineering in 2005, M.S. degree in
Communication and Information Engineering in 2008, both from Xiamen University, and Ph.D.
degree in Electrical and Computer Engineering from The Ohio State University in May 2014.
Between June 2014 and August 2016, he was a Postdoctoral Researcher working with Prof. R.
Srikant in the Coordinated Science Lab at the University of Illinois at Urbana-Champaign. In
August 2016, he joined the University of Rhode Island as an Assistant Professor in Computer
Engineering . His research spans communication networks, data centers, cloud computing, and
cyber-physical systems. In particular, his research utilizes mathematical tools from stochastic
processes, optimization, control, and algorithms to understand fundamental performance limits of
complex network systems, and develop efficient, adaptable, and scable algorithms for supporting
diverse applications. He received the Presidential Fellowship from The Ohio State University
and Chinese Government Award for Outstanding Ph.D. Students Abroad.