基于分组抽样的P2P超级节点推测
doi: 10.3724/SP.J.1146.2008.00587
Inferring the P2Ps Super Peers with Packet Sampling
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摘要: 基于小世界规律和幂率特征，该文提出了P2P超级节点检测方法IPS。IPS通过分组抽样检出P2P种子节点，然后根据P2P节点间的流量关联特征检出其余的P2P节点，并将连接度大的P2P节点作为超级节点输出。基于互联网数据的实验验证了该法的正确性。Abstract: Based on the small-world and power-law characters of P2P, the IPS is proposed to identify the P2P super nodes. IPS adopts packets sampling to identify seed nodes. Then according to the traffic relationship between the P2P nodes, IPS identifies all the other P2P nodes originating from the seed nodes. Finally, IPS regards the nodes with large connection degree as super nodes and outputs them. The validity of proposed method is verified by the experiments using Internet traces.
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