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Program Systems: Theory and Applications, 2023, Volume 14, Issue 1, Pages 55–94
DOI: https://doi.org/10.25209/2079-3316-2023-14-1-55-94 (Mi ps417) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Optimization Methods and Control Theory

Steady-state performance analysis of multiserver queueing models with redundancy

A. S. Rumyantsev, D. S. Dolgaleva, A. S. Golovin

Institute of Applied Mathematical Research of the Karelian Research Centre RAS, Petrozavodsk
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DOI: https://doi.org/10.25209/2079-3316-2023-14-1-55-94
URL: https://psta.psiras.ru/read/psta2023_1_55-94.pdf
Abstract: An approach to study of the stochastic models of distributed computing systems by means of the multiserver queueing models with redundancy is suggested. Perspectives and limitations of the approach, as well as possible future research directions are presented.
Key words and phrases: distributed computing systems, multiserver queueing systems, stochastic modeling, systems with redundancy.
Funding agency Grant number
Russian Science Foundation 21-71-10135
The study was supported by the Russian Science Foundation grant 21-71-10135.
Received: 06.12.2022
27.01.2023
Accepted: 05.02.2023
Document Type: Article
UDC: 519.248+519.872.8
MSC: Primary 60K30; Secondary 90B22, 65C30
Language: Russian and English
Citation: A. S. Rumyantsev, D. S. Dolgaleva, A. S. Golovin, “Steady-state performance analysis of multiserver queueing models with redundancy”, Program Systems: Theory and Applications, 14:1 (2023), 55–94
Citation in format AMSBIB
\Bibitem{RumDolGol23}
\by A.~S.~Rumyantsev, D.~S.~Dolgaleva, A.~S.~Golovin
\paper Steady-state performance analysis of multiserver
queueing models with redundancy
\jour Program Systems: Theory and Applications
\yr 2023
\vol 14
\issue 1
\pages 55--94
\mathnet{http://mi.mathnet.ru/ps417}
\crossref{https://doi.org/10.25209/2079-3316-2023-14-1-55-94}
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