Fluid limit for a multi-server, multiclass random order of service queue with reneging and tracking of residual patience times

Abstract In this paper, we consider a multi-server, multiclass queue with reneging operating under the random order of service discipline. Interarrival times, service times, and patience times are assumed to be generally distributed. Under mild conditions, we establish a fluid limit theorem for a measure-valued process that keeps track of the remaining patience time for each job in the queue, when the number of servers and classes is held fixed. We prove uniqueness for fluid model solutions in all but one case. We characterize the unique invariant state for the fluid model and prove that fluid model solutions converge to the invariant state as time goes to infinity, uniformly for suitable initial conditions.

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Publication Details

Journal
Queueing Systems
Published
2025-03-23
DOI
https://doi.org/10.1007/s11134-025-09941-6
Citations
2
Primary Topic
Advanced Queuing Theory Analysis
Type
article
Field-Weighted Citation Impact
4.57

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article

Fluid limit for a multi-server, multiclass random order of service queue with reneging and tracking of residual patience times

Ruth Williams, E. H. Loeser
2 citations
Queueing Systems
Advanced Queuing Theory Analysis
4.57
article

Fluid limit for a multi-server, multiclass random order of service queue with reneging and tracking of residual patience times

Ruth Williams, E. H. Loeser
article en
2 citations

Abstract

Abstract In this paper, we consider a multi-server, multiclass queue with reneging operating under the random order of service discipline. Interarrival times, service times, and patience times are assumed to be generally distributed. Under mild conditions, we establish a fluid limit theorem for a measure-valued process that keeps track of the remaining patience time for each job in the queue, when the number of servers and classes is held fixed. We prove uniqueness for fluid model solutions in all but one case. We characterize the unique invariant state for the fluid model and prove that fluid model solutions converge to the invariant state as time goes to infinity, uniformly for suitable initial conditions.

Queueing SystemsVol. 109(2)
University of California San Diego (US)
Alfred P. Sloan Foundation, Charles Lee Powell Foundation, Division of Mathematical Sciences
Openalex Percentile: Top 7%
Advanced Queuing Theory Analysis
4.57
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