{"title":"Steady state analysis of M/G/1 retrial queue with vacation and server timeout using a Petri net formalism","authors":"Ouiza Lekadir, D. Aïssani, Lyes Ikhlef","doi":"10.1504/ijmor.2022.10052124","DOIUrl":null,"url":null,"abstract":": In this paper, we analyse an M / G /1 retrial queue with vacation and server timeout. When the system is empty, the server waits for a random time. At the expiration of this time, if there is no arrival to the system, the server takes a vacation. If there is at least one customer in the system, the server commences service. So, we propose an unbounded Markov regenerative stochastic Petri net ( MRSPN ) to model this queueing system. For the qualitative analysis of this model, we combine the Markov regenerative approach and the generating function technique. Finally, numerical illustrations are performed.","PeriodicalId":38619,"journal":{"name":"International Journal of Mathematics in Operational Research","volume":"116 1","pages":"373-392"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mathematics in Operational Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijmor.2022.10052124","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0
Abstract
: In this paper, we analyse an M / G /1 retrial queue with vacation and server timeout. When the system is empty, the server waits for a random time. At the expiration of this time, if there is no arrival to the system, the server takes a vacation. If there is at least one customer in the system, the server commences service. So, we propose an unbounded Markov regenerative stochastic Petri net ( MRSPN ) to model this queueing system. For the qualitative analysis of this model, we combine the Markov regenerative approach and the generating function technique. Finally, numerical illustrations are performed.