Abstract
In this paper we develop policies for scheduling dynamically arriving jobs to a broad class of parallel-processing queueing systems. We show that in heavy traffic the policies asymptotically minimize a measure of the expected system backlog, which we call system work. Our results yield succinct, closed-form expressions for optimal system work in heavy traffic.
Full Citation
Gans, Noah and Garrett van Ryzin. “Optimal Dynamic Scheduling of a General Class of Parallel-Processing Queueing Systems.”
Advances in Applied Probability
vol. 30,
(December 01, 1998): 1130-1156.