{"title":"基于网络演算和全局尺度参数的多重分形交通排队分析","authors":"F. Vieira, Luan L. Lee","doi":"10.1109/ITS.2006.4433266","DOIUrl":null,"url":null,"abstract":"In this article, we derive a global scaling parameter for network multifractal traffic. Through this parameter and by relating the effective bandwidth concept to the statistical network calculus, we propose performance bounds for highspeed networks. Our performance bound estimation approach is evaluated by simulations with Internet and Ethernet traffic traces, verifying its efficiency in capturing byte loss probability and mean buffer occupation. The proposed byte loss probability bound was shown to be tighter than that given by the large deviations theory.","PeriodicalId":271294,"journal":{"name":"2006 International Telecommunications Symposium","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Queueing analysis for multifractal traffic through network calculus and global scaling parameter\",\"authors\":\"F. Vieira, Luan L. Lee\",\"doi\":\"10.1109/ITS.2006.4433266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we derive a global scaling parameter for network multifractal traffic. Through this parameter and by relating the effective bandwidth concept to the statistical network calculus, we propose performance bounds for highspeed networks. Our performance bound estimation approach is evaluated by simulations with Internet and Ethernet traffic traces, verifying its efficiency in capturing byte loss probability and mean buffer occupation. The proposed byte loss probability bound was shown to be tighter than that given by the large deviations theory.\",\"PeriodicalId\":271294,\"journal\":{\"name\":\"2006 International Telecommunications Symposium\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Telecommunications Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITS.2006.4433266\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Telecommunications Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITS.2006.4433266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Queueing analysis for multifractal traffic through network calculus and global scaling parameter
In this article, we derive a global scaling parameter for network multifractal traffic. Through this parameter and by relating the effective bandwidth concept to the statistical network calculus, we propose performance bounds for highspeed networks. Our performance bound estimation approach is evaluated by simulations with Internet and Ethernet traffic traces, verifying its efficiency in capturing byte loss probability and mean buffer occupation. The proposed byte loss probability bound was shown to be tighter than that given by the large deviations theory.