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Bounds on the rate of convergence for one class of inhomogeneous Markovian queueing models with possible batch arrivals and services Cover

Bounds on the rate of convergence for one class of inhomogeneous Markovian queueing models with possible batch arrivals and services

Open Access
|Mar 2018

Abstract

In this paper we present a method for the computation of convergence bounds for four classes of multiserver queueing systems, described by inhomogeneous Markov chains. Specifically, we consider an inhomogeneous M/M/S queueing system with possible state-dependent arrival and service intensities, and additionally possible batch arrivals and batch service. A unified approach based on a logarithmic norm of linear operators for obtaining sharp upper and lower bounds on the rate of convergence and corresponding sharp perturbation bounds is described. As a side effect, we show, by virtue of numerical examples, that the approach based on a logarithmic norm can also be used to approximate limiting characteristics (the idle probability and the mean number of customers in the system) of the systems considered with a given approximation error.

DOI: https://doi.org/10.2478/amcs-2018-0011 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 141 - 154
Submitted on: Apr 24, 2017
Accepted on: Aug 9, 2017
Published on: Mar 31, 2018
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2018 Alexander Zeifman, Rostislav Razumchik, Yacov Satin, Ksenia Kiseleva, Anna Korotysheva, Victor Korolev, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.