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Analysis of a Markovian feedback queue with multi-class customers and its application to the weighted round-robin queue

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dc.contributor.authorKim, Jerim-
dc.contributor.authorKim, Bara-
dc.contributor.authorLuh, Hsing-
dc.date.accessioned2021-09-01T14:31:03Z-
dc.date.available2021-09-01T14:31:03Z-
dc.date.created2021-06-19-
dc.date.issued2019-06-
dc.identifier.issn0254-5330-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/65215-
dc.description.abstractWe consider an M/G/1 Markovian feedback queue with multi-class customers. We derive functional equations for the stationary distribution of the queue size and the total response time. A system of linear equations is also derived for the moments of the queue size and the total response time distributions. The mean and the variance of the queue size and the total response time can be computed by solving the system of linear equations. By using the Markovian feedback queue with multi-class customers, we also investigate the M/PH/1 weighted round-robin queue. Numerical examples are given to show that moments of the queue sizes and of the total response times can be easily computed for the weighted round-robin queue. As the service quantum shrinks to zero, the moments of the queue sizes and the total response times converge to some limits which should be the moments of the corresponding discriminatory processor sharing queue.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherSPRINGER-
dc.subjectTIME DISTRIBUTIONS-
dc.subjectSOJOURN TIMES-
dc.subjectM/G/1 QUEUE-
dc.subjectMULTIPLE TYPES-
dc.subjectBERNOULLI-
dc.subjectPROCESSOR-
dc.subjectSYSTEMS-
dc.subjectLENGTH-
dc.titleAnalysis of a Markovian feedback queue with multi-class customers and its application to the weighted round-robin queue-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Bara-
dc.identifier.doi10.1007/s10479-018-2917-9-
dc.identifier.scopusid2-s2.0-85047999494-
dc.identifier.wosid000469190200002-
dc.identifier.bibliographicCitationANNALS OF OPERATIONS RESEARCH, v.277, no.2, pp.137 - 159-
dc.relation.isPartOfANNALS OF OPERATIONS RESEARCH-
dc.citation.titleANNALS OF OPERATIONS RESEARCH-
dc.citation.volume277-
dc.citation.number2-
dc.citation.startPage137-
dc.citation.endPage159-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaOperations Research & Management Science-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.subject.keywordPlusTIME DISTRIBUTIONS-
dc.subject.keywordPlusSOJOURN TIMES-
dc.subject.keywordPlusM/G/1 QUEUE-
dc.subject.keywordPlusMULTIPLE TYPES-
dc.subject.keywordPlusBERNOULLI-
dc.subject.keywordPlusPROCESSOR-
dc.subject.keywordPlusSYSTEMS-
dc.subject.keywordPlusLENGTH-
dc.subject.keywordAuthorFeedback queue-
dc.subject.keywordAuthorRound-robin-
dc.subject.keywordAuthorWeighted round-robin-
dc.subject.keywordAuthorQueue size-
dc.subject.keywordAuthorSojourn time-
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