{"title":"Analysis of cyclic reservation multiple access protocol","authors":"E. Huang","doi":"10.1109/LCN.1994.386610","DOIUrl":null,"url":null,"abstract":"Since the emergence of cyclic reservation multiple access (CRMA) metropolitan area network (MAN) protocol, there has been only limited analysis results. This control method grants channel access to stations through channel reservations, and operates under service cycles and reserve cycles. The service commands and reserve commands signal the beginning of service cycles and reserve cycles, respectively. An improved CRMA is described, and a queueing model is developed to study the mean cycle waiting time characteristics in response to the input traffic intensity, the number of stations, and the inter-arrival time of reserve commands. The probability of no waiting; which indicates the chance that a reservation's service starts as soon as it enters the global queue, is also calculated.<<ETX>>","PeriodicalId":270137,"journal":{"name":"Proceedings of 19th Conference on Local Computer Networks","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 19th Conference on Local Computer Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LCN.1994.386610","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Since the emergence of cyclic reservation multiple access (CRMA) metropolitan area network (MAN) protocol, there has been only limited analysis results. This control method grants channel access to stations through channel reservations, and operates under service cycles and reserve cycles. The service commands and reserve commands signal the beginning of service cycles and reserve cycles, respectively. An improved CRMA is described, and a queueing model is developed to study the mean cycle waiting time characteristics in response to the input traffic intensity, the number of stations, and the inter-arrival time of reserve commands. The probability of no waiting; which indicates the chance that a reservation's service starts as soon as it enters the global queue, is also calculated.<>
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