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Law of large numbers for the many-server earliest-deadline-first queue

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dc.contributor.author Atar, Rami en_US
dc.contributor.author BISWAS, ANUP en_US
dc.contributor.author Kaspi, Haya en_US
dc.date.accessioned 2018-06-28T09:15:21Z
dc.date.available 2018-06-28T09:15:21Z
dc.date.issued 2018-07 en_US
dc.identifier.citation Stochastic Processes and Their Applications, 128(7). en_US
dc.identifier.issn 1879-209X en_US
dc.identifier.uri http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/1077
dc.identifier.uri https://doi.org/10.1016/j.spa.2017.09.009 en_US
dc.description.abstract A 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.iso en en_US
dc.publisher Elsevier B.V. en_US
dc.subject Measure-valued processes en_US
dc.subject Measure-valued Skorohod map en_US
dc.subject Many-server transport equation en_US
dc.subject Fluid limits en_US
dc.subject Earliest-deadline-first en_US
dc.subject Least-patient-first en_US
dc.subject TOC-JUNE-2018 en_US
dc.subject 2018 en_US
dc.title Law of large numbers for the many-server earliest-deadline-first queue en_US
dc.type Article en_US
dc.contributor.department Dept. of Mathematics en_US
dc.identifier.sourcetitle Stochastic Processes and Their Applications en_US
dc.publication.originofpublisher Foreign en_US


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