摘要： 基于半结构化的P2P存储系统，设计一种基于兴趣聚集的元数据管理机制。采用分层的Bloom filter结构存储并维护热点和本地元数据信息，将元数据的查询请求路由到不同的超级节点上，实现元数据的分布式管理。实验结果表明，该机制能明显提高元数据的查询效率和访问速度，具有较好的适应性和可扩展性。

关键词: 元数据, 半结构化, 对等系统, Bloom过滤器, 跟踪强化因子

Abstract: Based on semi-structured Peer-to-Peer(P2P) system, this paper designs a P2P metadata management mechanism based on interest aggregation. It uses interest aggregation and hierarchical Bloom filters to locate and organize metadata, and routs the metadata query request to different metadata servers. Experimental results show that this mechanism has good adaptability and scalability, and it can improve metadata query efficiency and access performance.

Key words: metadata, semi-structured, Peer-to-Peer(P2P) system, Bloom filter, Trace Intensifying Factor(TIF)

中图分类号: 

• G203