Master data

Title: Approximating service-time distributions by phase-type distributions in single-server queues: a strong stability approach
Subtitle:
Abstract:

Phase-type queueing systems are used to approximate queues with general service-time distributions. In this work, we provide by means of the strong stability method, the mathematical justification of the approximation method by phase-type distributions that is already used in several works. We consider the approximation of M/G/1 queueing system by a M/PH/1 system, where PH refers to a hyperexponential H2 or a hypoexponential HOE2distribution depending on the value of the coefficient of variation of the original distribution. We prove the robustness of the underlying Markov chain in each case and estimate an upper bound of the deviation of the stationary vector, resulting from the perturbation of the service-time distribution. We provide numerical examples and compare the perturbation bounds obtained in this paper with the estimates of the real deviation of the stationary vector obtained by simulation.

Keywords:
Publication type: Article in journal (Authorship)
Publication date: 01.06.2018 (Print)
Published by: International Journal of Mathematics in Operational Research
International Journal of Mathematics in Operational Research
to publication
 ( Inderscience Publishers; )
Title of the series: -
Volume number: 12
Issue: 4
First publication: Yes
Version: -
Page: pp. 507 - 531

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Keine Version vorhanden
Publication date:
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1504/IJMOR.2018.10005095
Homepage: -
Open access
  • Available online (not open access)
Publication date: 01.06.2018
ISBN: -
ISSN: 1757-5869
Homepage: http://www.inderscience.com/info/inarticle.php?artid=92107

Assignment

Organisation Address
Fakultät für Wirtschafts- und Rechtswissenschaften
 
Institut für Produktions-, Energie- und Umweltmanagement
 
Abteilung für Produktionsmanagement und Logistik
Universitätsstr. 65-67
A-9020 Klagenfurt
Austria
To organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Categorisation

Subject areas
  • 101015 - Operations research
  • 101019 - Stochastics
  • 101024 - Probability theory
Research Cluster No research Research Cluster selected
Citation index
  • n.a.
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: n.a.)
Classification raster of the assigned organisational units:
working groups No working group selected

Cooperations

Organisation Address
U. Bejaia
Algeria
DZ  

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