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Optimal stochastic scheduling of forest networks with switching penalties

Part of: Operations research and management science Special processes

Published online by Cambridge University Press:  01 July 2016

Mark P. Van Oyen  and
Demosthenis Teneketzis
Mark P. Van Oyen
Affiliation:
University of Michigan, Ann Arbor
Demosthenis Teneketzis*
Affiliation:
University of Michigan, Ann Arbor
*
* Postal address: Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI 48109-2122, USA.
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Abstract

We present structural properties of optimal policies for the problem of scheduling a single server in a forest network of N queues (without arrivals) subject to switching penalties. In addition to linear holding costs, we impose either lump sum switching costs or batch set-up delays which are incurred at each instant the server processes a job in a queue different from the previous one. We use reward rate notions to unearth conditions on the holding costs and service distributions for which an exhaustive policy is optimal. For the case of two nodes connected probabilistically in tandem, we explicitly define an optimal policy under similar conditions.

Keywords

OPTIMAL CONTROL OF QUEUESQUEUEING NETWORKSSWITCHING COSTSWITCHING TIMEMULTI-ARMED BANDITSCOUPLING

MSC classification

Primary: 60K25: Queueing theory
Secondary: 90B35: Scheduling theory, deterministic
Type
General Applied Probability
Information
Advances in Applied Probability , Volume 26 , Issue 2 , June 1994 , pp. 474 - 497
Copyright
Copyright © Applied Probability Trust 1994 

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Footnotes

This work was supported in part by a Department of Electrical Engineering and Computer Science Graduate Fellowship and by NSF grant No. NCR-9204419.

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