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On stability of queueing networks with job deadlines

Part of: Operations research and management science Special processes

Published online by Cambridge University Press:  14 July 2016

Amy R. Ward  and
Nicholas Bambos
Amy R. Ward*
Affiliation:
Georgia Institute of Technology
Nicholas Bambos*
Affiliation:
Stanford University
*
∗ Postal address: School of Industrial Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0205, USA. Email address: amy@isye.gatech.edu
∗∗ Postal address: Department of Management Science and Engineering and Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.
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Abstract

In this paper, we consider a single-server queue with stationary input, where each job joining the queue has an associated deadline. The deadline is a time constraint on job sojourn time and may be finite or infinite. If the job does not complete service before its deadline expires, it abandons the queue and the partial service it may have received up to that point is wasted. When the queue operates under a first-come-first served discipline, we establish conditions under which the actual workload process—that is, the work the server eventually processes—is unstable, weakly stable, and strongly stable. An interesting phenomenon observed is that in a nontrivial portion of the parameter space, the queue is weakly stable, but not strongly stable. We also indicate how our results apply to other nonidling service disciplines. We finally extend the results for a single node to acyclic (feed-forward) networks of queues with either per-queue or network-wide deadlines.

Keywords

Deadlinesabandonmentsrenegingimpatiencestability

MSC classification

Primary: 60K25: Queueing theory
Secondary: 90B15: Network models, stochastic
Type
Research Papers
Information
Journal of Applied Probability , Volume 40 , Issue 2 , June 2003 , pp. 293 - 304
Copyright
Copyright © Applied Probability Trust 2003 

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Footnotes

Research supported in part by the National Science Foundation.

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