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An experimental study of peer behavior in a pure P2P network

机译:纯P2P网络中对等方行为的实验研究

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Dynamic peer behavior in P2P networks has a large impact on the performance of the network because each peer acts simultaneously as a server and a client in an overlay network. However, peer behavior in pure P2P networks is not well known because there is no management system and the network size is large. We have proposed a measurement method to collect information efficiently, and a method of analyzing the peer behavior with or without file uploading for pure P2P file sharing networks. These methods have been applied to Winny, which is the most popular P2P file sharing application in Japan. The analysis results show that the network is composed of about 30% of peers observed in 24 h, and 50% of peers contribute to the network as file uploaders. Selfish peers, which leave the network after downloading, are observed especially in the morning. The file uploading peers and the peers joining after midnight remain in the network for a long period. We also give mathematical fitting for the distribution of the peer lifetime and the frequency of joining the network. These results show that the distribution of lifetime does not have a heavy tail, and the behavior of peers joining the network is not a Poisson process.
机译:P2P网络中的动态对等方行为对网络性能有很大影响,因为每个对等方同时充当覆盖网络中的服务器和客户端。但是,纯P2P网络中的对等方行为不是众所周知的,因为没有管理系统并且网络规模很大。我们提出了一种有效收集信息的测量方法,以及一种用于分析纯P2P文件共享网络中有无文件上传的对等行为的方法。这些方法已应用于Winny,这是日本最受欢迎的P2P文件共享应用程序。分析结果表明,该网络由24小时内观察到的30%的对等点组成,其中50%的对等点作为文件上传者对网络做出了贡献。在下载后离开网络的自私同伴,尤其是在早晨,会被观察到。文件上传对等体和午夜后加入的对等体在网络中保留了很长时间。我们还给出了对等体寿命分布和加入网络频率的数学拟合。这些结果表明,生存期的分布没有很长的尾巴,加入网络的对等方的行为也不是泊松过程。

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