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针对现有对等(P2P)网络中拓扑调整缺乏对节点自主特性(自私、恶意行为)的考虑,导致自私节点占据网络中心,P2P网络性能低效的问题,提出一种基于历史交易信息,具有本地视角特征的节点互惠贡献能力(RCC)的计算方法,在此基础上提出基于RCC的拓扑优化方法(RCTO),周期性切断与低互惠节点的连接,聚合互惠合作的节点,并在自私节点对系统造成影响前将其排挤到网络边缘.实验结果表明,RCTO有效缩短了资源查询定位跳数,比同类方法提高了资源的分发效率,且具有更小的网络开销.
In view of the fact that the topological adjustment in the existing peer-to-peer (P2P) network lacks consideration of the autonomic characteristics (selfishness and malicious behavior) of the nodes, the selfish nodes occupy the network center and the performance of the P2P network is inefficient. Based on the historical transaction information, Based on this, a RCC-based topology optimization method (RCTO) is proposed, which periodically disconnects with low reciprocity nodes, aggregates and collaborates with each other, The system will be squeezed to the edge of the network before affecting the system.Experimental results show that RCTO effectively shortens the number of hops for resource query and improves the efficiency of resource allocation compared with similar methods and has less network overhead.