Dynamic Control of N-Systems with Many Servers: Asymptotic Optimality of a Static Priority Policy in Heavy Traffic

成果类型:
Article
署名作者:
Tezcan, Tolga; Dai, J. G.
署名单位:
University of Illinois System; University of Illinois Urbana-Champaign; University System of Georgia; Georgia Institute of Technology
刊物名称:
OPERATIONS RESEARCH
ISSN/ISSBN:
0030-364X
DOI:
10.1287/opre.1080.0668
发表日期:
2010
页码:
94-110
关键词:
open processing networks call-back option scheduling control parallel servers queuing-networks contact centers LIMITS
摘要:
We consider a class of parallel server systems that are known as N-systems. In an N-system, there are two customer classes that are catered by servers in two pools. Servers in one of the pools are cross-trained and can serve customers from both classes, whereas all of the servers in the other pool can serve only one of the customer classes. A customer reneges from his queue if his waiting time in the queue exceeds his patience. Our objective is to minimize the total cost that includes a linear holding cost and a reneging cost. We prove that, when the service speed is pool dependent, but not class dependent, a c mu-type greedy policy is asymptotically optimal in many-server heavy traffic.