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A preemptive resume priority retrial queue with state dependent arrivals, unreliable server and negative customers

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  • Ioannis Dimitriou

Abstract

In this paper we consider an unreliable single server retrial queue accepting two types of customers, with negative arrivals, preemptive resume priorities and vacations. A distinguishing feature of the model is that the rates of the Poisson arrival process depends on the server state. For this model we investigate the stability conditions and the joint queue length distribution in steady state. We also prove that our model satisfies the stochastic decomposition property. Transient, as well as steady state solutions for reliability measures are obtained. Finally, numerical results demonstrate the typical features of the model under consideration. Copyright Sociedad de Estadística e Investigación Operativa 2013

Suggested Citation

  • Ioannis Dimitriou, 2013. "A preemptive resume priority retrial queue with state dependent arrivals, unreliable server and negative customers," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(3), pages 542-571, October.
    • Handle: RePEc:spr:topjnl:v:21:y:2013:i:3:p:542-571
    DOI: 10.1007/s11750-011-0198-4
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    References listed on IDEAS

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    1. J. George Shanthikumar, 1988. "On Stochastic Decomposition in M / G /1 Type Queues with Generalized Server Vacations," Operations Research, INFORMS, vol. 36(4), pages 566-569, August.
    2. J. Artalejo, 1999. "A classified bibliography of research on retrial queues: Progress in 1990–1999," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 7(2), pages 187-211, December.
    3. A. G. Pakes, 1969. "Some Conditions for Ergodicity and Recurrence of Markov Chains," Operations Research, INFORMS, vol. 17(6), pages 1058-1061, December.
    4. Ger Koole & Avishai Mandelbaum, 2002. "Queueing Models of Call Centers: An Introduction," Annals of Operations Research, Springer, vol. 113(1), pages 41-59, July.
    5. S. W. Fuhrmann & Robert B. Cooper, 1985. "Stochastic Decompositions in the M / G /1 Queue with Generalized Vacations," Operations Research, INFORMS, vol. 33(5), pages 1117-1129, October.
    6. Wang, Jinting & Liu, Bin & Li, Jianghua, 2008. "Transient analysis of an M/G/1 retrial queue subject to disasters and server failures," European Journal of Operational Research, Elsevier, vol. 189(3), pages 1118-1132, September.
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    Cited by:

    1. Anatoly Nazarov & Ekaterina Fedorova & Olga Lizyura & Radmir Salimzyanov, 2023. "Asymptotic Diffusion Method for Retrial Queues with State-Dependent Service Rate," Mathematics, MDPI, vol. 11(14), pages 1-10, July.
    2. Samira Taleb & Amar Aissani, 2016. "Preventive maintenance in an unreliable M/G/1 retrial queue with persistent and impatient customers," Annals of Operations Research, Springer, vol. 247(1), pages 291-317, December.

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