DocumentCode :
3122615
Title :
Performance Analysis of the Superpeer-based Two-layer P2P Overlay Network with the CBF Strategy
Author :
Watanabe, Kenichi ; Hayashibara, Naohiro ; Takizawa, Makoto
Author_Institution :
Tokyo Denki Univ., Tokyo
fYear :
2007
fDate :
22-29 June 2007
Firstpage :
32
Lastpage :
32
Abstract :
Peer-to-peer (P2P) systems are widely used in various types of applications. In this paper, we evaluate the superpeer-based two-layer (SBTL) P2P overlay network with the charge-based flooding (CBF) algorithm to detect target peers which have target files, proposed as our previous work. The SBTL P2P overlay network is composed of two layers, normal peer and superpeer layers which include normal peers and superpeers, respectively. Multiple normal peers with some common properties, e.g. peers which have replicas of a file, are interconnected with a superpeer. A collection of a superpeer and normal peers is referred to as a cluster. In a cluster, a normal peer tries to find a target peer which has a target file by itself without help of its superpeer. If no target peer is detected in the cluster, the normal peer asks the superpeer to find the target peer. Then, the superpeer forwards the request message to other superpeers by using a type of flooding algorithm named the CBF algorithm at the superpeer layer. We evaluate the SBTL P2P model in terms of the number of messages exchanged among peers and communication load compared with other models.
Keywords :
message passing; peer-to-peer computing; performance evaluation; charge-based flooding algorithm; message exchange; network performance analysis; superpeer-based two-layer P2P overlay network; Application software; Bandwidth; Clustering algorithms; Computer networks; Floods; Information science; Partitioning algorithms; Peer to peer computing; Performance analysis; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems Workshops, 2007. ICDCSW '07. 27th International Conference on
Conference_Location :
Toronto, Ont.
ISSN :
1545-0678
Print_ISBN :
0-7695-2838-4
Electronic_ISBN :
1545-0678
Type :
conf
DOI :
10.1109/ICDCSW.2007.63
Filename :
4279030
Link To Document :
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