【摘要】 P2P流媒体网络中普遍存在一些关键节点,关键节点对网络的安全和通信性能起着重要作用,识别网络中的关键节点尤为重要,而传统方法对于大规模网络的关键节点识别时间开销很大,无法保证实时性。提出P2P流媒体网络中的关键节点识别算法,结合混合模式的网络结构特点,采用分区域的计算模型解决网络规模过大造成的巨大时间开销问题,根据节点的贡献度和传播能力差异定量化描述节点的重要性程度。仿真结果表明,所提算法可以快速获得节点重要性排序,有效识别P2P流媒体网络中的关键节点。更多还原

【Abstract】 There are some key nodes in P2 Pstreaming networks,which play an important role in network security and network communication.So identifying key nodes in the network is very crucial.The traditional method has huge time overhead for key node identification in large-scale networks and cannot guarantee real-time performance.We propose a key node identification algorithm in P2 Pstreaming media networks.Combining with the network structure characteristics of the hybrid mode,we use a region-based computing model to solve the huge time-consumption problem caused by the excessive network scale.The importance of nodes is quantitatively described according to the contribution and propagation capacity of nodes.Simulation results show that the proposed algorithm can quickly obtain the results of node importance ranking and effectively identify the key nodes in P2 Pstreaming networks.更多还原