DocumentCode
629624
Title
Centrality-based peer rewiring in semantic overlay networks: Short paper
Author
Yulian Yang ; Calabretto, Sylvie ; Brunie, L.
Author_Institution
LIRIS, Univ. de Lyon, Villeurbanne, France
fYear
2013
fDate
29-31 May 2013
Firstpage
1
Lastpage
6
Abstract
Peer rewiring aims to update peer´s contacts to other peers in a network. It is one of the classic approaches to semantic overlay networks(SON), the network organization where peers with semantically similar content are clustered together. To perform peer rewiring, each peer periodically collects the information of other peers in the network and uses them to update its existing contacts. While the information are collected either by random or by similarity-based gradient strategy in the literature, we propose a centrality-based approach to improve the efficiency of peer rewiring. The centrality is defined as peer´s capability to access other peers in its neighborhood in SON. By integrating centrality in the similarity-based gradient strategy, more similar peers are expected to be collected in a shorter time. We test our proposal by adding new peers in an unstructured P2P network with more than 20000 peers, where similar peers are already clustered up. The proposed approach greatly improves the rewiring efficiency of the new peers, comparing to similarity-based gradient strategy(the state-of-the-art approach).
Keywords
overlay networks; peer-to-peer computing; SON; centrality-based approach; centrality-based peer rewiring; network organization; peer information collection; peer-to-peer network; random-based gradient strategy; semantic overlay network; similarity-based gradient strategy; unstructured P2P network; Electronic mail; Indexes; Lead; Peer-to-peer computing; Proposals; Protocols; Semantics;
fLanguage
English
Publisher
ieee
Conference_Titel
Research Challenges in Information Science (RCIS), 2013 IEEE Seventh International Conference on
Conference_Location
Paris
ISSN
2151-1349
Print_ISBN
978-1-4673-2912-5
Type
conf
DOI
10.1109/RCIS.2013.6577720
Filename
6577720
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