报告题目：Mean Field Approximations to Queueing Models
报告人：Yiqiang Q Zhao 教授
报告人单位：School of Mathematics and Statistics, Carleton University, 加拿大
报告内容：In this talk, we briefly review the mean-field approach for queueing models, which is a powerful method initially introduced for statistical physics. We then illustrate, through a join-the-shortest queue (JSQ) model, how the mean-field limit can be used as an approximation for the performance of a queueing system with mean-field interaction and a large number of nodes.
This talk is based on joint research with Don Dawson and Jiashan Tang
报告人简介：Dr. Yiqiang Q. Zhao received a Ph.D. degree from the University of Saskatchewan in 1990. After a two-year appointment as a Postdoctoral Fellow sponsored by the Canadian Institute for Telecommunications Research (CITR) at Queen's University, he joined the Department of Mathematics and Statistics of the University of Winnipeg as an Assistant Professor in 1992, and became an Associate Professor in 1996. In 2000, he joined Carleton University as an Associate Professor in the School of Mathematics and Statistics and became a Full Professor in 2003. He was the Director of the School from 2004 to 2007, and from 2010 to 2011. He served as the Director for the Ottawa-Carleton Institute of Mathematic and Statistics from 2015 to 2016. He is currently Associate Dean, Research and Graduate Studies, of the Faculty of Science at Carleton University.
Dr. Zhao's research interests are in applied probability and stochastic processes, with a particular emphasis on computer and telecommunication network applications. He has published over 100 papers in internationally-refereed journals. He has delivered over 70 presentations at conferences and has been invited more than 60 times to give talks at seminars/colloquia or workshops. He is currently an editor of the journal Stochastic Models, an associate editor of the journals Queueing Systems and OR Letters, and on the editorial board of Advances in Operations Research, International Journal of Communications Journal of Environmental Informatics.