{"title":"A very accurate approximation for cell loss ratio in ATM networks","authors":"A. Haghighat, K. Faez","doi":"10.1109/ICON.2001.962354","DOIUrl":null,"url":null,"abstract":"We like to find the cell loss ratio in ATM networks when the statistical multiplexing is an important factor. In this paper, first we have proposed the combination of three analytical expressions, which approximate the cell loss probability, based on the fluid-flow approximation model and two stationary approximation models. Second, we have provided a very accurate numerical model for the finite buffer, which lies at the input of each VP. The sources are statistically independent and each traffic source has a two-state Markov model. This simulation is done at the cell level and its results are very accurate. We have compared the results of the numerical simulation with the results of the analytical approximation models. Also we have used linear estimation to find an accurate expression for cell loss approximation in ATM networks.","PeriodicalId":178842,"journal":{"name":"Proceedings. Ninth IEEE International Conference on Networks, ICON 2001.","volume":"16 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Ninth IEEE International Conference on Networks, ICON 2001.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICON.2001.962354","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
We like to find the cell loss ratio in ATM networks when the statistical multiplexing is an important factor. In this paper, first we have proposed the combination of three analytical expressions, which approximate the cell loss probability, based on the fluid-flow approximation model and two stationary approximation models. Second, we have provided a very accurate numerical model for the finite buffer, which lies at the input of each VP. The sources are statistically independent and each traffic source has a two-state Markov model. This simulation is done at the cell level and its results are very accurate. We have compared the results of the numerical simulation with the results of the analytical approximation models. Also we have used linear estimation to find an accurate expression for cell loss approximation in ATM networks.
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