Journal of Applied Mathematics and Decision Sciences
Volume 2007 (2007), Article ID 68280, 10 pages
doi:10.1155/2007/68280
Abstract
Consider a network of parallel finite tandem queues with two stages, where each arrival attempts to
minimize its own cost due to loss. It is known that the user optimal and asymptotic system optimal policies
may differ—we give examples showing that they may differ for finite systems and that as the service
rate is increased at the second stage the user optimal policy may change in such a way that the total expected
cost due to loss increases.