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A Study on P2P Traffic Identification, Measurement and Analysis

P2P流量识别、测量与分析研究

基本信息

批准号：
18500047
负责人：
KAWASHIMA Konosuke
金额：
$ 2.59万
依托单位：
Tokyo University of Agriculture and Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2006
资助国家：
日本
起止时间：
2006 至 2007
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18500047/
关键词：
Information Network Teletraffic Peer-to-Peer Internet Broadband Traffic measurement Traffic analysis P2P

项目摘要

(1) P2P Traffic Identification MethodPeer-to-Peer (P2P) file sharing applications are widely used nowadays. In overlay networks, it is mainly music and video files that are transferred, and it is known that the traffic volume is much larger than that of classical Client/Server applications. However, the nature of current P2P application traffic is not well known because of the anonymous communication architectures used. To solve this problem, we have developed an identification method for pure P2P application traffic, especially for Winny, the most popular pure P2P file sharing application in Japan. Our method relies only on Client/Server relationships among the peers, without recourse to application header information. Our experiment shows that our identification of FN is 0.053-0.116 and FP is lower than 1/10000.(2) Characteristics Evaluation of P2P TrafficWe applied our method to ISP traffic and gave an evaluation of the identified Winny traffic. The characteristics of the Winny flows are almost symmetric for the outgoing flows to the Internet and the incoming flows. A small number of peers are responsible for producing almost all the traffic volume. Small correlation is observed between uploading traffic and downloading traffic in one peer. This is because that there is not explicit incentive mechanism in Winny network.

(1)P2P流量识别方法P2P文件共享应用广泛。在覆盖网络中，传输的主要是音乐和视频文件，并且已知业务量比经典客户端/服务器应用的业务量大得多。然而，目前的P2P应用程序流量的性质并不为人所知，因为使用的匿名通信架构。为了解决这个问题，我们已经开发了一种识别方法的纯P2P应用程序流量，特别是Winny，在日本最流行的纯P2P文件共享应用程序。我们的方法只依赖于客户端/服务器之间的关系的同行，而不求助于应用程序的头信息。实验结果表明，我们的识别FN是0.053 - 0.116和FP是低于1/10000。(2)P2P网络流量的特征评估我们将该方法应用于ISP网络流量，并对识别出的Winny流量进行了评估。Winny流的特征对于去往Internet的流出流和流入流几乎是对称的。少数对等点负责产生几乎所有的流量。在一个对等体中的上传流量和下载流量之间观察到小的相关性。这是因为Winny网络中没有明确的激励机制。