Stochastic analysis of a preemptive retrial queue with orbital search and multiple vacations
RAIRO - Operations Research - Recherche Opérationnelle, Tome 54 (2020) no. 1, pp. 231-249.

This paper deals with a preemptive priority M/G/1 retrial queue with orbital search and exhaustive multiple vacations. By using embedded Markov chain technique and the supplementary variable method, we discuss the necessary and sufficient condition for the system to be stable and the joint queue length distribution in steady state as well as some important performance measures and the Laplace–Stieltjes transform of the busy period. Also, we establish a special case and the stochastic decomposition laws for this preemptive retrial queueing system. Finally, some numerical examples and cost optimization analysis are presented.

DOI : 10.1051/ro/2018117
Classification : 60K25, 90B22
Mots-clés : Nonlinear system, preemptive retrial queue, orbital search, embedded Markov chain, supplementary variable
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     title = {Stochastic analysis of a preemptive retrial queue with orbital search and multiple vacations},
     journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
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     publisher = {EDP-Sciences},
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Gao, Shan; Wang, Jinting. Stochastic analysis of a preemptive retrial queue with orbital search and multiple vacations. RAIRO - Operations Research - Recherche Opérationnelle, Tome 54 (2020) no. 1, pp. 231-249. doi : 10.1051/ro/2018117. http://www.numdam.org/articles/10.1051/ro/2018117/

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