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Dynamic routing and jockeying controls in a two-station queueing system

Part of: Operations research and management science Computer system organization

Published online by Cambridge University Press:  01 July 2016

Susan H. Xu  and
Y. Quennel Zhao
Susan H. Xu*
Affiliation:
Pennsylvania State University
Y. Quennel Zhao*
Affiliation:
University of Winnipeg
*
∗ Postal address: Department of Management Science and Information Systems, The Smeal College of Business Administration. The Pennsylvania State University, Beam Business Administration Building, University Park. PA 16802-1913, USA.
∗∗ Postal address: Department of Mathematics and Statistics. University of Winnipeg, 515 Portage Avenue, Winnipeg, Manitoba. Canada R3B 2E9.
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Abstract

This paper studies optimal routing and jockeying policies in a two-station parallel queueing system. It is assumed that jobs arrive to the system in a Poisson stream with rate λand are routed to one of two parallel stations. Each station has a single server and a buffer of infinite capacity. The service times are exponential with server-dependent rates, μ1 and μ2. Jockeying between stations is permitted. The jockeying cost is cij when a job in station i jockeys to station j, i ≠ j. There is no cost when a new job joins either station. The holding cost in station j is hj, h 1 ≦ h 2, per job per unit time. We characterize the structure of the dynamic routing and jockeying policies that minimize the expected total (holding plus jockeying) cost, for both discounted and long-run average cost criteria. We show that the optimal routing and jockeying controls are described by three monotonically non-decreasing functions. We study the properties of these control functions, their relationships, and their asymptotic behavior. We show that some well-known queueing control models, such as optimal routing to symmetric and asymmetric queues, preemptive or non-preemptive scheduling on homogeneous or heterogeneous servers, are special cases of our system.

Keywords

PARALLEL QUEUESROUTINGJOCKEYINGSCHEDULINGDYNAMIC PROGRAMMINGSTOCHASTIC COUPLINGASYMPTOTIC LIMIT

MSC classification

Primary: 90B35: Scheduling theory, deterministic
Secondary: 68M20: Performance evaluation; queueing; scheduling

Information

Type
General Applied Probability
Information
Advances in Applied Probability , Volume 28 , Issue 4 , December 1996 , pp. 1201 - 1226
Copyright
Copyright © Applied Probability Trust 1996 

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