Approximations for Markovian multi-class queues with preemptive priorities

Matthieu Van der Heijden; Aart Van Harten; Andrei Sleptchenko

doi:10.1016/j.orl.2003.09.001

Approximations for Markovian multi-class queues with preemptive priorities

Matthieu Van der Heijden, Aart Van Harten, Andrei Sleptchenko

Management Science & Engineering

University of Twente

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

Abstract

The approximations study of performance measures in multi-class queues was presented. The Markovian multi-class queues under study were with preemptive priorities. The queues approximations for large problems were based on class aggregation and server reduction techniques. The obtained approximations were compared with the simulation results to their exactness for yielding small-to-moderate approximation errors.

Original language	British English
Pages (from-to)	273-282
Number of pages	10
Journal	Operations Research Letters
Volume	32
Issue number	3
DOIs	https://doi.org/10.1016/j.orl.2003.09.001
State	Published - May 2004

Keywords

Approximations
Multi-channel queues
Preemptive priorities

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10.1016/j.orl.2003.09.001

Cite this

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title = "Approximations for Markovian multi-class queues with preemptive priorities",

abstract = "The approximations study of performance measures in multi-class queues was presented. The Markovian multi-class queues under study were with preemptive priorities. The queues approximations for large problems were based on class aggregation and server reduction techniques. The obtained approximations were compared with the simulation results to their exactness for yielding small-to-moderate approximation errors.",

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AU - Van der Heijden, Matthieu

AU - Van Harten, Aart

AU - Sleptchenko, Andrei

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AB - The approximations study of performance measures in multi-class queues was presented. The Markovian multi-class queues under study were with preemptive priorities. The queues approximations for large problems were based on class aggregation and server reduction techniques. The obtained approximations were compared with the simulation results to their exactness for yielding small-to-moderate approximation errors.

KW - Approximations

KW - Multi-channel queues

KW - Preemptive priorities

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M3 - Article

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SP - 273

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JO - Operations Research Letters

JF - Operations Research Letters

IS - 3

ER -

Approximations for Markovian multi-class queues with preemptive priorities

Abstract

Keywords

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