Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/1077
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAtar, Ramien_US
dc.contributor.authorBISWAS, ANUPen_US
dc.contributor.authorKaspi, Hayaen_US
dc.date.accessioned2018-06-28T09:15:21Z
dc.date.available2018-06-28T09:15:21Z
dc.date.issued2018-07en_US
dc.identifier.citationStochastic Processes and Their Applications, 128(7).en_US
dc.identifier.issn1879-209Xen_US
dc.identifier.urihttp://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/1077-
dc.identifier.urihttps://doi.org/10.1016/j.spa.2017.09.009en_US
dc.description.abstractA many-server queue operating under the earliest deadline first discipline, where the distributions of service time and deadline are generic, is studied at the law of large numbers scale. Fluid model equations, formulated in terms of the many-server transport equation and the recently introduced measure-valued Skorohod map, are proposed as a means of characterizing the limit. The main results are the uniqueness of solutions to these equations, and the law of large numbers scale convergence to the solutions.en_US
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.subjectMeasure-valued processesen_US
dc.subjectMeasure-valued Skorohod mapen_US
dc.subjectMany-server transport equationen_US
dc.subjectFluid limitsen_US
dc.subjectEarliest-deadline-firsten_US
dc.subjectLeast-patient-firsten_US
dc.subjectTOC-JUNE-2018en_US
dc.subject2018en_US
dc.titleLaw of large numbers for the many-server earliest-deadline-first queueen_US
dc.typeArticleen_US
dc.contributor.departmentDept. of Mathematicsen_US
dc.identifier.sourcetitleStochastic Processes and Their Applicationsen_US
dc.publication.originofpublisherForeignen_US
Appears in Collections:JOURNAL ARTICLES

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.