ORIE Colloquium, 2013-11-19 - Ton Dieker (Georgia Tech): Optimal Resource Capacity Management for Stochastic Networks
From E. Cornelius on April 25th, 2018
Tuesday, November 19, 2013 at 4:15pm Frank H. T. Rhodes Hall, 253 ORIE Colloquium: Ton Dieker (Georgia Tech) - Optimal Resource Capacity Management for Stochastic Networks Abstract: We develop a general framework for determining the optimal resource capacity for each station comprising a stochastic network. It uses an iterative methodology that relies only on the capability of observing the queue lengths at all network stations given a resource capacity allocation. We illustrate the use our methodology and the quality of its results through extensive numerical results, and we investigate the proposed methodology for a special class of networks. We also discuss an application. Joint work with Soumyadip Ghosh and Mark Squillante. Bio: Ton Dieker earned a master's degree in Operations Research from the Vrije Universiteit Amsterdam in 2002 and a PhD degree in Mathematics from the University of Amsterdam in 2006. He joined Georgia Tech in 2008, where is the Fouts Family Assistant Professor. Honors include the Goldstine Fellowship from IBM Research, a CAREER Award from the National Science Foundation, and the Erlang Prize from the Applied Probability Society of INFORMS. He serves on the editorial boards of Operations Research and Mathematics of Operations Research.