Efficient content locating in peer-to-peer systems

Haitao Chen, Zunguo Huang, Z. Gong
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引用次数: 3

Abstract

A group-based semantic search method - GBSS is introduced to improve the efficiency and scalability of search in P2P systems. GBSS introduces a hybrid architecture in which the storage and search of raw data is based on DHT network, but the storage and search of meta-data are based on unstructured P2P network. With regard to search algorithm, GBSS introduces a new file grouping method requiring no users' descriptions and constructs friend group relations between nodes based on interest similarity between file groups. The forwarding of users' requests makes use of friend group relations. Simulation tests show that compared with traditional flooding algorithms, GBSS is both efficient and scalable
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为了提高P2P系统中搜索的效率和可扩展性,提出了一种基于组的语义搜索方法GBSS。GBSS引入了一种混合体系结构,其中原始数据的存储和搜索基于DHT网络,元数据的存储和搜索基于非结构化的P2P网络。在搜索算法方面,GBSS引入了一种新的不需要用户描述的文件分组方法,并基于文件组之间的兴趣相似性在节点之间构建朋友组关系。用户请求的转发利用了朋友组关系。仿真实验表明,与传统的泛洪算法相比,GBSS具有高效率和可扩展性
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