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以P2P网络为基础,提出一种基于缓存的分布式语义检索模型。当网络中某一节点的剩余负载能力达到一个阈值时,它将成为中心节点,并与周围的普通节点共同构成一个拓扑域。中心节点收集域中各普通节点上的资源信息列表建立索引缓存,并将索引缓存分发到域中各普通节点。同时,中心节点会为域中的热点资源建立内容缓存,存储在本地。域中每个节点都存有检索资源的路径信息,中心节点存储着热点资源,利用这些已有信息辅助检索,可以有效提高检索的命中率,降低资源消耗。
Based on P2P network, a cache-based distributed semantic retrieval model is proposed. When the residual load capacity of a node in the network reaches a threshold, it becomes a central node and forms a topological domain together with the surrounding ordinary nodes. The central node collects a list of resource information on each ordinary node in the domain to establish an index cache and distributes the index cache to each ordinary node in the domain. At the same time, the center node creates a content cache for the hotspot resources in the domain and stores it locally. Each node in the domain has path information for retrieving resources. The central node stores the hotspot resources, and assists the retrieval by using the existing information, which can effectively improve the retrieval hit rate and reduce the resource consumption.