Paper Info
Title
Evolutionary P2p Networking That Fuses Evolutionary Computation And P2p Networking Together
Abstract
In the present paper, we propose an evolutionary P2P networking technique that dynamically and adaptively optimizes several P2P network topologies, in which all of the nodes are included at the same time, in an evolutionary manner according to given evaluation criteria. In addition, through simulations, we examine whether the proposed evolutionary P2P networking technique can provide reliable search capability in dynamic P2P environments. In simulations, we assume dynamic P2P environments in which each node leaves and joins the network with its own probability and in which search objects vary with time. The simulation results show that topology reconstruction by the evolutionary P2P networking technique is better than random topology reconstruction when only a few types of search objects are present in the network at any moment and these search objects are not replicated. Moreover, for the scenario in which the evolutionary P2P networking technique is more effective, we show through simulations that when each node makes several links with other nodes in a single network topology, the evolutionary P2P networking technique improves the reliable search capability. Finally, the number of links that yields more reliable search capability appears to depend on how often nodes leave and join the network.
Year
DOI
Venue
2010
10.1587/transcom.E93.B.317
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
Field
DocType
P2P networking, evolutionary computation, topology reconstruction, dynamic P2P environment
Joins,Peer-to-peer,Computer science,Network architecture,Computer network,Evolutionary computation,Network topology,Active networking,Fuse (electrical),Shared resource,Distributed computing
Journal
Volume
Issue
ISSN
E93B
2
0916-8516
Citations 
PageRank 
References 
5
0.47
8
Authors
2
Name
Order
Citations
PageRank
Kei Ohnishi13917.71
Yuji Oie237868.37