摘要
搜索效率是影响P2P网络系统性能的关键因素之一。在分析了各种P2P网络模型的优缺点后,在混合模型的基础上引入了跟踪节点的概念对混合式网络的节点进行重新分类,构造网络拓扑模型。基于此拓扑模型,引入节点资源距离和IP地址相似度的概念,提出了系统在节点发起搜索请求后,根据分组函数动态地对节点进行分组的机制,进一步优化搜索算法。仿真实验结果表明,此算法在减少搜索耗时、降低网络通信量等方面表现优异,系统稳定性好,有效地提高了网络搜索效率。
Search efficiency was one of the key factors that affect the system performance of P2P network.This paper analyzed the advantages and disadvantages of P2P network model.Then on the basis of hybrid model,tracker node was introduced to reclassify the nodes of hybrid network to construct network topological model.On the basis of this model,an improved search algorithm that system groups the nodes dynamically after the search request was sent was put forward by importing node resource distance and IP address similarity.The experimental results showed that the proposed model had better stability and the network search efficiency was greatly improved by the new algorithm which needed less search time and network traffic.
出处
《微处理机》
2010年第5期50-53,共4页
Microprocessors
关键词
混合式P2P
动态分组
搜索
跟踪节点
Hybrid Peer-to-Peer（P2P）
Dynamic grouping
Search
Tracker node
