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Upper bounds on the rate of convergence for constant retrial rate queueing model with two servers

Upper bounds on the rate of convergence for constant retrial rate queueing model with two servers The paper deals with a Markovian retrial queueing system with a constant retrial rate and two servers. We present the detailed description of the model as well as establish the sufficient conditions for null ergodicity and strong ergodicity of the corresponding process and obtain the upper bounds on the rate of convergence for both situations. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Statistical Papers Springer Journals

Upper bounds on the rate of convergence for constant retrial rate queueing model with two servers

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References (27)

Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer-Verlag GmbH Germany, part of Springer Nature
Subject
Statistics; Statistics for Business, Management, Economics, Finance, Insurance; Probability Theory and Stochastic Processes; Economic Theory/Quantitative Economics/Mathematical Methods; Operations Research/Decision Theory
ISSN
0932-5026
eISSN
1613-9798
DOI
10.1007/s00362-018-1014-0
Publisher site
See Article on Publisher Site

Abstract

The paper deals with a Markovian retrial queueing system with a constant retrial rate and two servers. We present the detailed description of the model as well as establish the sufficient conditions for null ergodicity and strong ergodicity of the corresponding process and obtain the upper bounds on the rate of convergence for both situations.

Journal

Statistical PapersSpringer Journals

Published: Jun 5, 2018

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