Mark S. Squillante
Performance Evaluation Review
We consider a fluid model of n x n input-queued switches with associated fluid-flow costs and derive an optimal scheduling control policy to an infinite horizon discounted control problem with a general linear objective function of fluid cost. Our optimal policy coincides with the cμ-rule in certain parameter domains, but more generally, takes the form of the solution to a flow maximization problem. Computational experiments demonstrate the benefits of our optimal scheduling policy over variants of max-weight scheduling and the cμ-rule.
Mark S. Squillante
Performance Evaluation Review
Zhen Liu, Mark S. Squillante, et al.
ACM Conference on Electronic Commerce 2001
Mark S. Squillante, Edward D. Lazowska
IEEE TPDS
Yingdong Lu
International Journal of Stochastic Analysis