{"title":"A generalized stochastic Petri net model of Multibus II","authors":"G. Klas, C. Wincheringer","doi":"10.1109/CMPEUR.1992.218400","DOIUrl":null,"url":null,"abstract":"Results on the performance of a Multibus II based automation system are presented. These are achieved by means of a generalized stochastic Petri net model which was solved by analytical techniques instead of by simulation. The mapping of this industry-standard protocol to a stochastic Petri net model is outlined. It is shown how protocol features like arbitration priorities, parking, and message passing can be conveniently and efficiently analyzed from a Petri net model. This allows the estimation of optimum values for system parameters like the message size, and the identification of bottlenecks in a given architecture.<<ETX>>","PeriodicalId":390273,"journal":{"name":"CompEuro 1992 Proceedings Computer Systems and Software Engineering","volume":"152 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CompEuro 1992 Proceedings Computer Systems and Software Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMPEUR.1992.218400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Results on the performance of a Multibus II based automation system are presented. These are achieved by means of a generalized stochastic Petri net model which was solved by analytical techniques instead of by simulation. The mapping of this industry-standard protocol to a stochastic Petri net model is outlined. It is shown how protocol features like arbitration priorities, parking, and message passing can be conveniently and efficiently analyzed from a Petri net model. This allows the estimation of optimum values for system parameters like the message size, and the identification of bottlenecks in a given architecture.<>
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