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Information theoretic analysis for queueing systems with quasi-random input

dc.contributor.authorArtalejo Rodríguez, Jesús Manuel
dc.contributor.authorGómez-Corral, Antonio
dc.date.accessioned2023-06-20T16:55:18Z
dc.date.available2023-06-20T16:55:18Z
dc.date.issued1995
dc.description.abstractIn this paper, information theoretic inference methodology for system modeling is applied to estimate the stationary distribution for the number of customers in single server queueing systems with service capacity utilized by a finite population. The customers demand i.i.d. service times. Three different models are considered. In Model I, a customer who finds the server busy can be queued, whereas in Models II and III, any customer finding the server busy upon arrival will make repeated attempts to enter service until he eventually finds the server free. Models II and III differ in the retrial policy. Numerical examples illustrate the accuracy of the proposed maximum entropy estimation when it is compared with the classical analysis.
dc.description.departmentDepto. de Estadística e Investigación Operativa
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.sponsorshipUniversidad Complutense de Madrid
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/15893
dc.identifier.doi10.1016/0895-7177(95)00120-Q
dc.identifier.issn0895-7177
dc.identifier.officialurlhttp://www.sciencedirect.com/science/article/pii/089571779500120Q
dc.identifier.relatedurlhttp://www.sciencedirect.com/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/57429
dc.issue.number3
dc.journal.titleMathematical and Computer Modelling
dc.language.isoeng
dc.page.final76
dc.page.initial65
dc.publisherPergamon-Elsevier Science LTD
dc.relation.projectIDPR161/93-4777.
dc.rights.accessRightsrestricted access
dc.subject.cdu519.216
dc.subject.keywordMaximum entropy estimation
dc.subject.keywordQuasi-random input
dc.subject.keywordQueueing theory
dc.subject.keywordRepeated attempts
dc.subject.keywordStable recursion algorithms
dc.subject.ucmProcesos estocásticos
dc.subject.unesco1208.08 Procesos Estocásticos
dc.titleInformation theoretic analysis for queueing systems with quasi-random input
dc.typejournal article
dc.volume.number22
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relation.isAuthorOfPublication.latestForDiscoverydb4b8a04-44b0-48e9-8b2c-c80ffae94799

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