|Continuum Models of Large Networks
Edwin Chong, Ph.D., Electrical and Computer Engineering, ColoradoState University
Monday, November 10, 2008
4:00 p.m. 223 Weber
This talk is concerned with the modeling and simulation of extremely large networks. We derive time-dependent diffusion-convection partial differential equations whose solutions capture the global characteristics of a stochastic network model. Continuum modeling provides a powerful way to deal with the number of components in large networks, and opens up the use of highly sophisticated mathematical tools such as adaptive finite element methods. This, in turn, makes it possible to carry out---with reasonable computational burden even for very large systems---network performance evaluation and prototyping, network design, systematic parameter studies, and optimization of network characteristics.
Edwin K. P. Chong received the B.E.(Hons.) degree with First Class Honors from the University of Adelaide, South Australia, in 1987; and the M.A. and Ph.D. degrees in 1989 and 1991, respectively, both from Princeton University, where he held an IBM Fellowship. He joined the School of Electrical and Computer Engineering at Purdue University in 1991, where he was named a University Faculty Scholar in 1999, and was promoted to Professor in 2001. Since August 2001, he has been a Professor of Electrical and Computer Engineering and a Professor of Mathematics at Colorado State University. His current interests are in communication networks and optimization methods. He coauthored the recent best-selling book, An Introduction to Optimization, 3rd Edition, Wiley-Interscience, 2008. He was on the editorial board of the IEEE Transactions on Automatic Control, and is currently an editor for Computer Networks and the Journal of Control Science and Engineering.
Professor Chong is a Fellow of the IEEE, and served as an IEEE Control Systems Society Distinguished Lecturer. He received the NSF CAREER Award in 1995 and the ASEE Frederick Emmons Terman Award in 1998. He was a co-recipient of the 2004 Best Paper Award for a paper in the journal Computer Networks. He has served as Principal Investigator for numerous funded projects from DARPA and other defense funding agencies.