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dc.contributor.authorAtencia-McKillop, Iván 
dc.contributor.authorGalán-García, José Luis 
dc.contributor.authorAguilera-Venegas, Gabriel 
dc.contributor.authorRodríguez-Cielos, Pedro 
dc.contributor.authorGalán-García, María Ángeles 
dc.contributor.authorPadilla-Domínguez, Yolanda Carmen 
dc.contributor.authorRodríguez-Padilla, Pablo 
dc.date.accessioned2022-07-04T09:39:57Z
dc.date.available2022-07-04T09:39:57Z
dc.date.created2022-06
dc.date.issued2022-06-13
dc.identifier.urihttps://hdl.handle.net/10630/24534
dc.description.abstractResearches on retrial queues with non-geometrical retrial times is motivated by real computers and telecommunication networks, where retrial times can hardly be geometrical distributed. The inherent difficulty with non-geometrical retrial times is caused by the fact that queueing models must keep track of the elapsed retrial time for each of possibly a very large number of customers in the orbit. This 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. 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 its 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.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Teches_ES
dc.language.isoenges_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectMarkov, Espectroes_ES
dc.subject.otherQueueing Systemes_ES
dc.subject.otherEngineeringes_ES
dc.titleA Non Markovian Retrial Queueing Systemes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.centroEscuela de Ingenierías Industrialeses_ES
dc.relation.eventtitle8th European Seminar on Computing (ESCO 2022)es_ES
dc.relation.eventplacePilsen (Chequia)es_ES
dc.relation.eventdate13-06-2022es_ES


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