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dc.contributor.authorAtencia-McKillop, Iván 
dc.date.accessioned2020-07-24T08:01:18Z
dc.date.available2020-07-24T08:01:18Z
dc.date.created2020-06
dc.date.issued2020-07-24
dc.identifier.urihttps://hdl.handle.net/10630/19674
dc.description.abstractThis paper analyses a discrete-time Geo/G/1 retrial queue with general retrial times in which the arriving customers may opt to follow a LCFS-PR discipline or to join the orbit where it is contemplated the movement of jobs, customers, etc., from one place to another. The Markov chain underlying the system has been studied, the generating functions of the number of customers in the orbit and in the system as well as their expected values are derived. The stochastic decomposition law and, as an application, bounds for the proximity between the steady-state distribution for the system under study and its corresponding standard system has been derived. Recursive formulae for calculating the steady-state distributions of the orbit and system size have been developed. Besides, it has proved that the M/G/1 continuous-time version of the studied model can be approximated by the discrete-time system considered. A complete study of the sojourn time of a customer in the server, the orbit and the system has been carried out. Numerical examples to illustrate the effect of the most signiffcant parameters of the system on several performance characteristics are given. Finally, a section of conclusions and research results is presented.en_US
dc.language.isoengen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectColas de espera, Teoría deen_US
dc.subjectProbabilidadesen_US
dc.subjectProcesos estocásticosen_US
dc.subject.otherQueueing systemen_US
dc.subject.otherRetrialen_US
dc.subject.otherLCFS-PRen_US
dc.subject.otherTeoría de colasen_US
dc.titleSojourn Times and Steady-state Probabilities in a Retrial Queueing Systemen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.centroEscuela de Ingenierías Industrialesen_US
dc.relation.eventtitle7th European Seminar on Computing (ESCO 2020)en_US
dc.relation.eventplacePilsen (República checa) - Onlineen_US
dc.relation.eventdate08/06/2020en_US


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