Convergence problems, optimization of algorithms and stochastic analysis of retrial queueing systems.

To optimize the networks control in telecommunication, we consider an M^X / G / 1 retrial queue with impatient customers. By using the method of supplementary variables, we obtain the partial generating functions of the steady state joint distribution of the server state and the number of customers in the retrial group is obtained. To complete the analysis of the considered model, we find the steady state distribution of the embedded Markov chain. We investigate the stochastic decomposition property. Although the generating function of the steady state distribution of the number of customers in the retrial group can be obtained in explicit form, it is cumbersome and does not reveal the nature of the distribution in question. Therefore, we investigate the asymptotic behaviour of the random variable representing the number of customers in the retrial group and in the system under limit values of various parameters. We complete this work by numerical examples.

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Source https://theses.hal.science/tel-00829089
Author Arrar, Nawel, K.
Maintainer CCSD
Last Updated May 10, 2026, 22:04 (UTC)
Created May 10, 2026, 22:04 (UTC)
Identifier tel-00829089
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne) (SAMM) ; Université Paris 1 Panthéon-Sorbonne (UP1)
creator Arrar, Nawel, K.
date 2012-09-10T00:00:00
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harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2024-04-18T00:00:00
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