Load Balancing in Large Data Storage Systems

Time: Friday, September 15, 2017 - 11:00am - 12:00pm
Type: Seminar Series
Presenter: Bin Li; Computer and Biomedical Engineering, University of Rhode Island
Room/Office: Room 335
Location:
17 Hillhouse Avenue
New Haven, CT 06511
United States

Department of Electrical Engineering Seminar Series

Bin Li
Assistant Professor
Department of Electrical, Computer and Biomedical Engineering
University of Rhode Island

"Load Balancing in Large Data Storage Systems"

Abstract: 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.

Bio: 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. Srikanth 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 the Department of Electrical, Computer and Biomedical 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 diverse applications.

September 15, 2017
11:00 AM
17 Hillhouse Room 335

Host: Professor Leandros Tassiulas