Title :
A New Efficient Hierarchical Distributed P2P Clustering Algorithm
Author :
Guo, Kai ; Liu, Zhijng
Author_Institution :
Sch. of Comput. Sci. & Technol., Xidian Univ., Xian
Abstract :
A new hierarchical distributed P2P architecture and clustering algorithm (HDP2PA) is proposed in this paper. HP2PA can address the problems of large central storage requirement in centralized data mining and heavy traffic in traditional distributed P2P network. The architecture is a multi-layer overlay network of peer units based on Super-P2P model. Clustering process is divided into two phases consisted of local clustering and global combination. Using the hierarchical architecture, the partial results produced by local clustering are aggregated to a global one. Experiments prove the method is effective.
Keywords :
data mining; peer-to-peer computing; centralized data mining; clustering algorithm; global combination; hierarchical distributed P2P architecture; large central storage requirement; local clustering; multilayer overlay network; Clustering algorithms; Computer architecture; Computer science; Costs; Data mining; Fuzzy systems; Monitoring; Network servers; Telecommunication traffic; Traffic control;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on
Conference_Location :
Shandong
Print_ISBN :
978-0-7695-3305-6
DOI :
10.1109/FSKD.2008.280