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Topology Analysis of Gnutella by Large Scale Mining

机译:大规模开采Gnutella的拓扑分析

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摘要

In this paper, we present a characterization of P2P network topologies, focusing on degree distribution and visualization of Gnutella network based on the data collected by our crawler. A new peer classifying method which classifies peers into asked and unasked groups is proposed in this paper. The distribution of asked peers' degree and replied peers' degree is identified. It shows that the distribution of asked degree is accurate, stable, well shaped, and the distribution has never been reported before. Understanding why Gnutella network has these features and figure out how to use these structures to modeling the Gnutella network is our future work.
机译:在本文中,我们介绍了P2P网络拓扑的特征,重点是基于爬虫收集的数据对Gnutella网络进行度分布和可视化。本文提出了一种新的对等体分类方法,该方法将对等体分为请求组和未请求组。确定询问的同伴学位和回答的同伴学位的分布。它表明要求程度的分布是准确,稳定,形状良好的,并且以前从未报道过这种分布。了解Gnutella网络为何具有这些功能,并弄清楚如何使用这些结构为Gnutella网络建模是我们未来的工作。

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