基于利益最优的自适应对等网拓扑构造

Topology Construction Based on Maximum Benefit for Self-Adaptive P2P Networks

  • 摘要: 为提高非结构化对等网的搜索效率,提出一种基于利益最优的智能拓扑机制.提出“价值”的概念来衡量对等节点的服务能力;根据对等节点在处理能力、物理位置和兴趣上的异构特性,对拓扑进行优化调整,最终形成以强节点为核心,兴趣相似和地域邻近节点为“簇”的伪超级节点拓扑结构.试验结果表明,该拓扑有助于提高搜索效率,降低系统总开销,并在一定程度上抑制了对等网上的“freerider”现象.

     

    Abstract: In order to improve the resource-searching efficiency in unstructured P2P networks,an intellectualized topology mechanism based on maximum benefit is proposed.The concept of "value" is put forward to measure the peer's service capability.The topology is adjusted according to the heterogeneity in processing capability,physical location and interest.A pseudo "Super-Peer" topology is finally formed in which the nodes with powerful service capability act as the core and the near peers with similar interests form the "clusters".The experiment results indicate that the topology is helpful to enhance efficiency,reduce cost and restrain the "freerider" to some extent.

     

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