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On the M/G/1 retrial queueing system with linear control policy

dc.contributor.authorGómez Corral, Antonio
dc.contributor.authorMartín Conde, María
dc.date.accessioned2023-06-20T20:07:09Z
dc.date.available2023-06-20T20:07:09Z
dc.date.issued1995
dc.description.abstractThis paper is concerned with the study of a new M/G/1 retrial queueing system in which the delays between retrials are exponentially distributed random variables with linear intensityg(n)=α+nμ, when there aren≥1 customers in the retrial group. This new retrial discipline will be calledlinear control policy. We carry out an extensive analysis of the model, including existence of stationary regime, stationary distribution of the embedded Markov chain at epochs of service completions, joint distribution of the orbit size and the server state in steady state and busy period. The results agree with known results for special cases.
dc.description.departmentDepto. de Estadística e Investigación Operativa
dc.description.facultyFac. de Ciencias Matemáticas
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/30745
dc.identifier.doi10.1007/BF02568590
dc.identifier.issn1134-5764
dc.identifier.officialurlhttp://link.springer.com/article/10.1007%2FBF02568590
dc.identifier.relatedurlhttp://link.springer.com/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/59598
dc.issue.number2
dc.journal.titleTop
dc.page.final305
dc.page.initial285
dc.publisherSpringer
dc.rights.accessRightsmetadata only access
dc.subject.cdu519.22
dc.subject.keywordRetrial System
dc.subject.keywordErgodicity
dc.subject.keywordEmbedded Markov Chain
dc.subject.keywordMarkov Regenerative Process
dc.subject.keywordk-Busy Period
dc.subject.ucmEstadística aplicada
dc.titleOn the M/G/1 retrial queueing system with linear control policy
dc.typejournal article
dc.volume.number3
dcterms.referencesCinlar, E. (1975).Introduction to stochastic processes. Prentice-Hall. Choi, B.D., K.K. Park and C.E.M. Pearce (1993). AnM/M/1 retrial queue with control policy and general retrial times.Queueing Systems 14, 275–292. de Kok, A.G. (1984). Algorithmic methods for single server systems with repeated attempts. Statistica Neerlandica38, 23–32. Falin, G.I. (1981). Functioning under nonsteady conditions of a single-channel system with group arrival of requests and repeated calls,Ukrainian Math. J. 33, 429–432. Falin, G.I. (1990). A survey of retrial queues.Queueing Systems 7, 127–168. Falin, G.I., M. Martín and J.R. Artalejo (1994). Information theoretic approximations for theM/G/1 retrial queue.Acta Informatica 31, 559–571. Farahmand, K. (1990). Single line queue with repeated demands.Queueing Systems 6, 223–228 Fayolle, G. (1986). A simple telephone exchange with delayed feedbacks, in:Teletraffic Analysis and Computer Performance Evaluation (O.J. Boxma, J.W. Cohen and H.C. Tijms, eds.). Elsevier Science. Gómez-Corral, A. and J.R. Artalejo (1995). Steady state solution of a single-server queue with linear request repeated. (In preparation). Harris, C.M., K.L. Hoffman and P.B. Saunders (1987). Modeling the IRS telephone taxpayer information system.Operations Research 35, 504–523. Martín, M. and J.R. Artalejo (1995). Analysis of anM/G/1 queue with two types of impatient units.Advances in Applied Probability 27, 840–861.View Article Yang, T. and J.G.C. Templeton (1987). A survey on retrial queues.Queueing Systems 2, 201–233. Yang, T., M.J.M. Posner and J.G.C. Templeton (1990). TheM/G/1 retrial queue with nonpersistent customers.Queueing Systems 7, 209–218. Yang, T., M.J.M. Posner and J.G.C. Templeton (1992). TheC a/M/s/m retrial queues a computational approach.ORSA Journal on Computing 4, 182–191. Yang, T., M.J.M. Posner, J.G.C. Templeton and H. Li (1994). An approximation method for theM/G/1 retrial queue with general retrial times.European Journal of Operations Research 76, 552–562.
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscoveryb4d8ca11-a569-40ec-bd29-90eba44f8f01

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