Dynamic scheduling of a multiclass queue in the Halfin-Whitt heavy traffic regime
成果类型：
Article
署名作者：
Harrison, JM; Zeevi, A
署名单位：
Stanford University; Columbia University
刊物名称：
OPERATIONS RESEARCH
ISSN/ISSBN：
0030-364X
DOI：
10.1287/opre.1030.0084
发表日期：
2004
页码：
243-257
关键词：
摘要：
We consider a Markovian model of a multiclass queueing system in which a single large pool of servers attends to the various customer classes. Customers waiting to be served may abandon the queue, and there is a cost penalty associated with such abandonments. Service rates, abandonment rates, and abandonment penalties are generally different for the different classes. The problem studied is that of dynamically scheduling the various classes. We consider the Halfin-Whitt heavy traffic regime, where the total arrival rate and the number of servers both become large in such a way that the system's traffic intensity parameter approaches one. An approximating diffusion control problem is described and justified as a purely formal (that is, nonrigorous) heavy traffic limit. The Hamilton-Jacobi-Bellman equation associated with the limiting diffusion control problem is shown to have a smooth (classical) solution, and optimal controls are shown to have an extremal or bang-bang character. Several useful qualitative insights are derived from the mathematical analysis, including a square-root rule for sizing large systems and a sharp contrast between system behavior in the Halfin-Whitt regime versus that observed in the conventional heavy traffic regime. The latter phenomenon is illustrated by means of a numerical example having two customer classes.