Revisiting coexistence of poissonity and self-similarity in Internet traffic

H. Gupta, A. Mahanti, V. Ribeiro
{"title":"Revisiting coexistence of poissonity and self-similarity in Internet traffic","authors":"H. Gupta, A. Mahanti, V. Ribeiro","doi":"10.1109/MASCOT.2009.5366239","DOIUrl":null,"url":null,"abstract":"The immense popularity of new-age “Web 2.0” applications such as YouTube, Flickr, and Facebook, and non-Web applications such as Peer-to-Peer (P2P) file sharing, Voice over IP, online games, and media streaming have significantly altered the composition of Internet traffic with respect to what it was a few years ago. In light of these changes, this paper revisits Internet traffic characteristics and models that were proposed when “traditional” Web traffic was the largest contributor to Internet traffic. Specifically, we study whether or not the following characteristics, namely: (1) traffic is self-similar and long-range dependent, and (2) traffic can be approximated by Poisson at smaller time scales, are still valid. Our experiments on recent traces show that these traffic characteristics continue to hold. We further argue that current Internet traffic can be viewed to have two key constituents, namely Web+ and P2P+; Web+ traffic consists of traffic from both Web 1.0 and Web 2.0 applications; P2P+ traffic consists largely of traffic from P2P applications and other non-Web applications excluding applications on well-known ports such as FTP and SMTP. We then show that both Web+ and P2P+ components exhibit self-similar behavior and can be approximated by Poisson at smaller time scales.","PeriodicalId":275737,"journal":{"name":"2009 IEEE International Symposium on Modeling, Analysis & Simulation of Computer and Telecommunication Systems","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Symposium on Modeling, Analysis & Simulation of Computer and Telecommunication Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASCOT.2009.5366239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 21

Abstract

The immense popularity of new-age “Web 2.0” applications such as YouTube, Flickr, and Facebook, and non-Web applications such as Peer-to-Peer (P2P) file sharing, Voice over IP, online games, and media streaming have significantly altered the composition of Internet traffic with respect to what it was a few years ago. In light of these changes, this paper revisits Internet traffic characteristics and models that were proposed when “traditional” Web traffic was the largest contributor to Internet traffic. Specifically, we study whether or not the following characteristics, namely: (1) traffic is self-similar and long-range dependent, and (2) traffic can be approximated by Poisson at smaller time scales, are still valid. Our experiments on recent traces show that these traffic characteristics continue to hold. We further argue that current Internet traffic can be viewed to have two key constituents, namely Web+ and P2P+; Web+ traffic consists of traffic from both Web 1.0 and Web 2.0 applications; P2P+ traffic consists largely of traffic from P2P applications and other non-Web applications excluding applications on well-known ports such as FTP and SMTP. We then show that both Web+ and P2P+ components exhibit self-similar behavior and can be approximated by Poisson at smaller time scales.
重新审视互联网流量中毒性与自相似性的共存
新时代的“Web 2.0”应用程序(如YouTube、Flickr和Facebook)以及非Web应用程序(如点对点(P2P)文件共享、IP语音、在线游戏和媒体流)的巨大流行,与几年前相比,极大地改变了互联网流量的构成。鉴于这些变化,本文重新审视了当“传统”网络流量是互联网流量的最大贡献者时提出的互联网流量特征和模型。具体而言,我们研究了以下特征是否仍然有效,即:(1)流量是自相似的和远程依赖的,(2)流量可以在较小的时间尺度上用泊松近似。我们对最近的痕迹进行的实验表明,这些流量特征仍然存在。我们进一步认为,当前的互联网流量可以被视为有两个关键组成部分,即Web+和P2P+;Web+流量包括来自Web 1.0和Web 2.0应用程序的流量;P2P+流量主要包括P2P应用和其他非web应用的流量,不包括FTP、SMTP等知名端口的流量。然后,我们证明了Web+和P2P+组件都表现出自相似的行为,并且可以在较小的时间尺度上用泊松近似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信