{"title":"A unified framework for modeling TCP-Vegas, TCP-SACK, and TCP-Reno","authors":"A. Wierman, T. Osogami, J. Olsén","doi":"10.1109/MASCOT.2003.1240671","DOIUrl":null,"url":null,"abstract":"A general analytical framework for the modeling and analysis of TCP variations is presented. The framework allows the modeling of multiple variations of TCP, including TCP-Vegas, TCP-SACK, and TCP-Reno, under general network situations. In particular, the framework allows us to propose the first analytical model of TCP-Vegas for arbitrary on-off traffic that is able to predict the operating point of the network. The analysis provided by our framework leads to many interesting observations with respect to both the behavior of bottleneck links that are shared by TCP sources and the effectiveness of the design decisions in TCP-SACK and TCP-Vegas.","PeriodicalId":344411,"journal":{"name":"11th IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer Telecommunications Systems, 2003. MASCOTS 2003.","volume":"119 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"65","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"11th IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer Telecommunications Systems, 2003. MASCOTS 2003.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASCOT.2003.1240671","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 65
Abstract
A general analytical framework for the modeling and analysis of TCP variations is presented. The framework allows the modeling of multiple variations of TCP, including TCP-Vegas, TCP-SACK, and TCP-Reno, under general network situations. In particular, the framework allows us to propose the first analytical model of TCP-Vegas for arbitrary on-off traffic that is able to predict the operating point of the network. The analysis provided by our framework leads to many interesting observations with respect to both the behavior of bottleneck links that are shared by TCP sources and the effectiveness of the design decisions in TCP-SACK and TCP-Vegas.
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