Yingdong Lu, Mark S. Squillante, et al.
Automatica
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.
Yingdong Lu, Mark S. Squillante, et al.
Automatica
Soumyadip Ghosh, Mark S. Squillante
Computer Communications
Yingdong Lu, Mark S. Squillante, et al.
NeurIPS 2019
David A. Goldberg, Dmitriy Katz-Rogozhnikov, et al.
Mathematics of Operations Research