【摘要】 Gnutella是一种对等网络文件共享应用,使用"洪泛"算法进行资源定位,具有简单、容错的特点,但扩展性差.提出一种基于兴趣本体模型对用户兴趣进行建模,通过将具有相似兴趣的节点建立直接连接构成兴趣子网,从而有效地避免在Gnutella中使用广播扩散方式进行资源定位,以提高Gnutella的可扩展性和内容定位性能.仿真实验证明了兴趣子网模型是有效的.更多还原

【Abstract】 Gnutella, a popular file-sharing application, relies on flooding queries to all peers. Although flooding is simple and robust, it is not scalable. This paper uses an ontology model to represent user’s interests. An interest-based group model is used to organize the peers with similar interests into a subnet. The content location solution is on top of the existing Gnutella network. By using the algorithm, called interest-based subnet, a significant amount of flooding can be avoided, making Gnutella a more competitive solution. The extensive simulation results show the effectiveness of the proposed model in peer-to-peer system.更多还原