首页> 外文会议>Modeling, Analysis amp; Simulation of Computer and Telecommunication Systems, 2009. MASCOTS '09 >Revisiting coexistence of poissonity and self-similarity in Internet traffic
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Revisiting coexistence of poissonity and self-similarity in Internet traffic

机译:重新探究网络流量中泊松性和自我相似性的共存

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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.
机译:新时代的“ Web 2.0”应用程序(例如YouTube,Flickr和Facebook)以及非Web应用程序(如对等(P2P)文件共享,IP语音,在线游戏和媒体流)的普及程度很高与几年前相比,互联网流量的构成发生了巨大变化。鉴于这些变化,本文回顾了当“传统” Web流量是Internet流量的最大贡献者时提出的Internet流量特征和模型。具体来说,我们研究以下特征是否仍然有效:(1)流量是自相似且与远程相关的;(2)可以在较小的时间尺度上用泊松近似的流量。我们对最新痕迹的实验表明,这些流量特征继续存在。我们进一步认为,可以将当前的互联网流量视为具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 +流量主要包括来自P2P应用程序和其他非Web应用程序的流量,但不包括FTP和SMTP等知名端口上的应用程序。然后,我们证明Web +和P2P +组件都表现出自相似的行为,并且可以由Poisson在较小的时间尺度上近似。

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