Colloquium Details
Resource Allocation for Cloud Storage Systems and Cyber-Physical Systems
| Author: | Bin Li University of Illinois at Urbana-Champaign |
|---|---|
| Date: | February 25, 2016 |
| Time: | 15:30 |
| Location: | 220 Deschutes |
Abstract
Efficient utilization of network resources plays an important role in the complex network systems penetrating our real life, such as communication networks, cyber-physical systems, cloud computing, and data centers. In this talk, I will first talk about load balancing in large cloud storage systems, which is used to exploit the redundancy in file storage (through replication or coding) to reduce mean file access delay. We use mean-field analysis to show that, for a given storage capacity per file, coding strictly outperforms replication at all traffic loads.
Then, I will talk about efficient resource allocation algorithm designs in cyber-physical systems, whose performance is heavily dependent on the accurate, prompt, and consistent feedback from the physical systems. This motivates us to develop resource allocation algorithms that not only achieve high throughput but also provide timely and consistent service.
Biography
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 under the supervision of Prof. Atilla Eryilmaz from The Ohio State University (OSU) in May 2014.
Since June 2014, he has been a Postdoctoral Researcher working with Prof. R. Srikant at the University of Illinois at Urbana-Champaign (UIUC). His research spans communication networks, data centers, cloud computing, and cyber-physical systems. He received the Presidential Fellowship from The Ohio State University and Chinese Government Award for Outstanding Ph.D. Students Abroad.