中文摘要：

P2P网络规模的扩大导致基于洪泛的检索方法易产生严重的通信消耗,为此提出一种区域资源聚集模型和检索算法。对非结构化对等网络中分散的资源进行分层聚集,形成大粒度的资源实体,显著缩减网络规模;综合考虑影响资源检索命中率的多种因素,构造资源引用价值衰减函数以调节描述资源实体的引用价值向量和矩阵;检索时从区域资源簇中具有最大引用价值的资源组开始寻找所要的资源。实验结果表明,该方法有效控制了消息转发范围、检索命中率有显著提高。

英文摘要：

Expanding the scale of network P2P leads to the flooding-based search methods producing a serious communication cost problem. To solve the problem, a searching strategy and a model of peer-to-peer based on the regional resource aggregation were put forward. The distributed resources in unstructured peer-to-peer networks were aggregated hierarchically into the large granularity resource entity and the network size was reduced significantly. Considering multiple factors that affected resource re- trieval hits, a resource reference value decline function was presented which regulated a vector and matrix describing resource en- tity reference value. It began to search the resources with the maximum reference value resource group in the regional resource clusters and this process was gradually extended until it found so far. The simulations demonstrate it effectively limits the scope of the messages dissemination and improves the performance of the system.