Paper Info
Title
Clustering Superpeers in P2P Networks by Growing Neural Gas
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.
Year
DOI
Venue
2012
10.1109/PDP.2012.73
Parallel, Distributed and Network-Based Processing
Keywords
Field
DocType
peer-to-peer computing,telecommunication network management,telecommunication network topology,P2P network,P2P system,Protopeer simulator,churn,cluster center,communication requirement,dynamic network,growing neural gas clustering algorithm,large-scale network,network service,network topology,peer-to-peer network,self-organizing super peer overlay,super peers management,superpeers clustering,variable network load,load balancing,overlay networks,p2p,structured overlays,superpeers
Algorithm design,Computer science,Load balancing (computing),Computer network,Network topology,Dissemination,Overlay,Cluster analysis,Overlay network,Neural gas,Distributed computing
Conference
ISSN
ISBN
Citations 
1066-6192
978-1-4673-0226-5
5
PageRank 
References 
Authors
0.41
12
2
Name
Order
Citations
PageRank
Mihai Dumitrescu150.41
Razvan Andonie211717.71