摘要
针对非结构化的P2P资源搜索应用需求,提出了基于胖树的启发式P2P资源搜索算法.通过构建基于胖树的P2P资源网络结构,高效率地对P2P上的各种资源进行管理.采用基于启发式的搜索策略利用每次资源搜索的反馈结果,对搜索路径进行调整.测试表明,P2P资源搜索算法相对于传统的Chord算法在搜索跳数减少约60%,对网络资源搜索平均延时缩短50%.
According to the application demand of the unstructured P2P resource search, this paper puts forwards a heuristic algorithm based on fat-free. A network structure for P2P resources on the basis of fat-tree is built up to manage the various resources on P2P efficiently. The search paths are adjusted in accordance with the feedbacks of each search by adopting the heuristic search strategy. The test shows that the hops of the proposed search algorithm for P2P resources is about 60% less than the traditional Chord algorithm, and its average time delay is about 50%.
出处
《广西民族大学学报（自然科学版）》
CAS
2013年第3期76-80,共5页
Journal of Guangxi Minzu University ：Natural Science Edition
基金
广西哲学社会科学课题"基于物联网技术的图书馆服务模式研究"(11BTQ001)
关键词
资源搜索
P2P
启发式
胖树
算法
Resource search, P2P, heuristic
fat-tree
algorithm
