Three management policies for a resource with partition constraints

dc.citation.epage818en_US
dc.citation.issueNumber3en_US
dc.citation.spage795en_US
dc.citation.volumeNumber31en_US
dc.contributor.authorAlanyalı, M.en_US
dc.date.accessioned2016-02-08T10:41:03Z
dc.date.available2016-02-08T10:41:03Z
dc.date.issued1999en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.description.abstractManagement of a bufferless resource is considered under non-homogeneous demand consisting of one-unit and two-unit requests. Two-unit requests can be served only by a given partition of the resource. Three simple admission policies are evaluated with regard to revenue generation. One policy involves no admission control and two policies involve trunk reservation. A limiting regime in which demand and capacity increase in proportion is considered. It is shown that each policy is asymptotically optimal for a certain range of parameters. Limiting dynamical behavior is obtained via a theory developed by Hunt and Kurtz. The results also point out the remarkable effect of partition constraints.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T10:41:03Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1999en
dc.identifier.doi10.1239/aap/1029955205en_US
dc.identifier.issn0001-8678
dc.identifier.urihttp://hdl.handle.net/11693/25213
dc.language.isoEnglishen_US
dc.publisherCambridge University Pressen_US
dc.relation.isversionofhttps://doi.org/10.1239/aap/1029955205en_US
dc.source.titleAdvances in Applied Probabilityen_US
dc.subjectAdmission controlen_US
dc.subjectHeavy trafficen_US
dc.subjectLoss networksen_US
dc.subjectMultirate networksen_US
dc.subjectPartition constraintsen_US
dc.subjectResource managementen_US
dc.subjectTime-scale separationen_US
dc.subjectTrunk reservationen_US
dc.subjectAsymptotic stabilityen_US
dc.subjectConstraint theoryen_US
dc.subjectInventory controlen_US
dc.subjectResource allocationen_US
dc.subjectMultirate networksen_US
dc.subjectPartition constraintsen_US
dc.subjectResource managementen_US
dc.subjectProbability distributionsen_US
dc.titleThree management policies for a resource with partition constraintsen_US
dc.typeArticleen_US

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