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Problemy Peredachi Informatsii, 2009, Volume 45, Issue 4, Pages 115–120 (Mi ppi2003)  

This article is cited in 3 scientific papers (total in 3 papers)

Communication Network Theory

Parameter estimation for product-form distributions of queueing networks

G. Sh. Tsitsiashvili, M. A. Osipova

Institute of Applied Mathematics, Far-Eastern Branch of the Russian Academy of Sciences
Full-text PDF (215 kB) Citations (3)
References:
Abstract: Basic parameters of a queueing network are its routing matrix, arrival flow rate, and service rates at network nodes. To estimate these parameters, one has to solve a system of balance equations. In turn, a product-form limiting distribution of the number of customers at the network nodes is defined through loading factors. Therefore, in the paper we propose to estimate loading factors through estimates of the limiting distribution based on observations of the number of customers at the nodes. This makes it possible to avoid solving a system of balance equations. This algorithm is realized for Jackson networks: classical, in a random environment, with blocked transitions.
Received: 17.03.2009
Revised: 04.08.2009
English version:
Problems of Information Transmission, 2009, Volume 45, Issue 4, Pages 400–405
DOI: https://doi.org/10.1134/S0032946009040097
Bibliographic databases:
Document Type: Article
UDC: 621.395.74+519.2
Language: Russian
Citation: G. Sh. Tsitsiashvili, M. A. Osipova, “Parameter estimation for product-form distributions of queueing networks”, Probl. Peredachi Inf., 45:4 (2009), 115–120; Problems Inform. Transmission, 45:4 (2009), 400–405
Citation in format AMSBIB
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\paper Parameter estimation for product-form distributions of queueing networks
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  • https://www.mathnet.ru/eng/ppi/v45/i4/p115
  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Проблемы передачи информации Problems of Information Transmission
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    Abstract page:440
    Full-text PDF :78
    References:64
    First page:13
     
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