Publication:
Admission policies for a two class loss system with general interarrival times

dc.contributor.coauthorvan der Wal, J.
dc.contributor.departmentDepartment of Industrial Engineering
dc.contributor.kuauthorÖrmeci, Lerzan
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Industrial Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokid32863
dc.date.accessioned2024-11-09T23:09:23Z
dc.date.issued2006
dc.description.abstractThis paper considers the problem of dynamic admission control in a loss queueing system with two classes of jobs. The jobs require an exponential amount of service time with different means and bring different revenues, whereas the arrivals occur according to a general distribution. We establish the existence of optimal acceptance thresholds for both job classes and show that under certain conditions there exists a preferred class. We also provide an example to demonstrate that for a Markov modulated Poisson arrival process there may be states in which both classes are rejected.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.issue1
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.volume22
dc.identifier.doi10.1080/15326340500481721
dc.identifier.eissn1532-4214
dc.identifier.issn1532-6349
dc.identifier.quartileQ4
dc.identifier.scopus2-s2.0-32144433364
dc.identifier.urihttp://dx.doi.org/10.1080/15326340500481721
dc.identifier.urihttps://hdl.handle.net/20.500.14288/9285
dc.identifier.wos235051100004
dc.keywordsDynamic admission control
dc.keywordsGeneral interarrival times
dc.keywordsLoss systems
dc.keywordsTreshold policies
dc.languageEnglish
dc.publisherTaylor & Francis Inc
dc.sourceStochastic Models
dc.subjectStatistics
dc.subjectProbability
dc.titleAdmission policies for a two class loss system with general interarrival times
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authorid0000-0003-3575-8674
local.contributor.kuauthorÖrmeci, Lerzan
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relation.isOrgUnitOfPublication.latestForDiscoveryd6d00f52-d22d-4653-99e7-863efcd47b4a

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