DocumentCode :
3646097
Title :
Clustering Superpeers in P2P Networks by Growing Neural Gas
Author :
Mihai Dumitrescu;Razvan Andonie
Author_Institution :
Electron. &
fYear :
2012
Firstpage :
311
Lastpage :
318
Abstract :
A challenging problem in peer-to-peer (P2P) networks is the management of super peers. We understand by this how to dynamically adapt the network topology (the number and the locations of super peers) in accordance to the network changes. The super peers are cluster centers which dynamically adapt their number and location. We introduce a self-organizing super peer overlay that suits the communication requirements of a P2P system. Our approach is based on the Growing Neural Gas clustering algorithm. The proposed framework may be suitable for disseminating network services in dynamic and large-scale networks where a large number of data and services need to be replicated, moved, and deleted in a decentralized manner. In our experiments, performed on the Protopeer simulator, the proposed algorithm adapts well to variable network load and churn.
Keywords :
"Peer to peer computing","Vectors","Network topology","Topology","Adaptation models","Algorithm design and analysis","Protocols"
Publisher :
ieee
Conference_Titel :
Parallel, Distributed and Network-Based Processing (PDP), 2012 20th Euromicro International Conference on
ISSN :
1066-6192
Print_ISBN :
978-1-4673-0226-5
Type :
conf
DOI :
10.1109/PDP.2012.73
Filename :
6169566
Link To Document :
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