{"title":"A novel analysis technique for investigating transient performance of queueing systems","authors":"Guang-Liang Li, Jun-hong Cui, Bo Li, Fang-Ming Li","doi":"10.1109/MASCOT.1998.693697","DOIUrl":null,"url":null,"abstract":"Conventional analysis techniques of queueing systems typically assume that the stochastic process under study is already in steady state. This assumption is, however, not valid if the life cycle of the process is not large enough. Previous work in transient analysis of queueing systems usually focuses on Markov models. This paper, in contrast, presents an analysis technique for investigating transient performance of queueing systems that are not necessarily Markovian.","PeriodicalId":272859,"journal":{"name":"Proceedings. Sixth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (Cat. No.98TB100247)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Sixth International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (Cat. No.98TB100247)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASCOT.1998.693697","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Conventional analysis techniques of queueing systems typically assume that the stochastic process under study is already in steady state. This assumption is, however, not valid if the life cycle of the process is not large enough. Previous work in transient analysis of queueing systems usually focuses on Markov models. This paper, in contrast, presents an analysis technique for investigating transient performance of queueing systems that are not necessarily Markovian.
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