{"title":"流体流动模型中往返时间的建模和理解","authors":"Hui Wang, Z. Ji, Xiaofan Li, Xiangjun Wang","doi":"10.1109/ICCVE.2012.29","DOIUrl":null,"url":null,"abstract":"Based on the fluid flow model which described the window-size behavior in transmission control protocol (TCP), V. Misra worked out the expected congestion window size while the round-trip time (RTT) was a constant. However, in this paper, the expected congestion window size and some analytical results are obtained theoretically while RTT varies as an ordinary or a stochastic function. The introduction of stochastic processes for modeling RTT helps to understand the window-size behavior in congestion networks in a brand-new way.","PeriodicalId":182453,"journal":{"name":"2012 International Conference on Connected Vehicles and Expo (ICCVE)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Modeling and Understanding the Round-trip Time in the Fluid Flow Model\",\"authors\":\"Hui Wang, Z. Ji, Xiaofan Li, Xiangjun Wang\",\"doi\":\"10.1109/ICCVE.2012.29\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the fluid flow model which described the window-size behavior in transmission control protocol (TCP), V. Misra worked out the expected congestion window size while the round-trip time (RTT) was a constant. However, in this paper, the expected congestion window size and some analytical results are obtained theoretically while RTT varies as an ordinary or a stochastic function. The introduction of stochastic processes for modeling RTT helps to understand the window-size behavior in congestion networks in a brand-new way.\",\"PeriodicalId\":182453,\"journal\":{\"name\":\"2012 International Conference on Connected Vehicles and Expo (ICCVE)\",\"volume\":\"134 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Connected Vehicles and Expo (ICCVE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCVE.2012.29\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Connected Vehicles and Expo (ICCVE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCVE.2012.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
V. Misra基于描述传输控制协议(TCP)中窗口大小行为的流体流动模型,计算出往返时间(RTT)为常数时的期望拥塞窗口大小。然而,在本文中,期望拥塞窗口大小和一些分析结果是理论上得到的,而RTT作为普通函数或随机函数变化。引入随机过程建模RTT有助于以一种全新的方式理解拥塞网络中的窗口大小行为。
Modeling and Understanding the Round-trip Time in the Fluid Flow Model
Based on the fluid flow model which described the window-size behavior in transmission control protocol (TCP), V. Misra worked out the expected congestion window size while the round-trip time (RTT) was a constant. However, in this paper, the expected congestion window size and some analytical results are obtained theoretically while RTT varies as an ordinary or a stochastic function. The introduction of stochastic processes for modeling RTT helps to understand the window-size behavior in congestion networks in a brand-new way.