{"title":"Computing Closed-Form Stochastic Bounds on Transient Distributions of Markov Chains","authors":"M. B. Mamoun, N. Pekergin","doi":"10.1109/SAINTW.2005.1620025","DOIUrl":null,"url":null,"abstract":"In {3, 2} we have defined a particular class of time homogeneous discrete time Markov chains, called class C, having closed-form steady-state solution. In this paper, we show that transient distributions of this particular class have also closed-form solutions. Therefore, it is possible to apply the stochastic comparison approach to compute bounds on transient distributions by means of the closed-form solutions. This approach may be attractive for high-speed networks, where QoS requirements are the thresholds and exact values are not necessary.","PeriodicalId":220913,"journal":{"name":"2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 Symposium on Applications and the Internet Workshops (SAINT 2005 Workshops)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAINTW.2005.1620025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In {3, 2} we have defined a particular class of time homogeneous discrete time Markov chains, called class C, having closed-form steady-state solution. In this paper, we show that transient distributions of this particular class have also closed-form solutions. Therefore, it is possible to apply the stochastic comparison approach to compute bounds on transient distributions by means of the closed-form solutions. This approach may be attractive for high-speed networks, where QoS requirements are the thresholds and exact values are not necessary.