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Research on P2P routing model based on clustering and position of nodes

机译:基于聚类和节点位置的P2P路由模型研究

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Studying at the existed P2P network,Aiming at the issues of communication latency increasing and network costs raising which caused by mismatch between logical topology and physical topology, combining with the clustering of P2P, the thesis proposes a three-tier P2P network model based on clustering and position of nodes in IPv6. In the model, neighbor nodes in physical topology compose domains, nodes with the same property compose a group in every domain, it chooses nodes with the best capability as the intelligent nodes of groups or as the routing nodes of domains by calculating the capability of nodes, and selects routing and forwards datum according to the property similarity and the resources routing table. Simulation result shows the model can shorten search latency, enhance the efficiency of resource search and recall ratio.
机译:在存在的P2P网络上学习,针对逻辑拓扑和物理拓扑之间的不匹配引起的通信延迟的问题和网络成本升高,与P2P聚类相结合,提出了一种基于聚类的三层P2P网络模型 和IPv6中的节点的位置。 在模型中,物理拓扑中的邻居节点撰写域,具有相同属性的节点在每个域中撰写组,它通过计算节点的能力选择具有智能节点的最佳能力的节点,或者通过计算节点的能力作为域的路由节点 ,并根据属性相似性和资源路由表选择路由和转发数据。 仿真结果表明,模型可以缩短搜索延迟,提高资源搜索和召回比率的效率。

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