Title :
A Correlation-Based Clustering Hierarchical P2P Network Model
Author :
Yuan Li ; Xia Shixiong
Author_Institution :
Sch. of Comput. Sci. & Technol., China Univ. of Min. & Technol., Xuzhou, China
Abstract :
In this paper, a correlation-based clustering hierarchical P2P network model is proposed,which overcomes the problems of poor scalability and low search efficiency in unstructured P2P networks.This model devides the whole unstructured P2P network into clusters formed by a number of nodes through correlation.Each cluster elects a master node to be responsible for managing the entire cluster.The whole network is divided into 2 layers.The upper layer is a structured network consisting of the master nodes of each cluster,while the lower layer is an unstructured network consisting of client nodes of a cluster. the superiority of performance in the query success rate and query delay is verified by simulating.
Keywords :
correlation methods; peer-to-peer computing; correlation-based clustering; hierarchical P2P network model; master node; query delay; query success rate; scalability problem; search efficiency; Computational modeling; Computer science; Computers; Educational institutions; Internet; Peer to peer computing; Search problems;
Conference_Titel :
Internet Technology and Applications, 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5142-5
Electronic_ISBN :
978-1-4244-5143-2
DOI :
10.1109/ITAPP.2010.5566396