Advanced Search
CS Search Google Search
Subscribers, please login

Published Articles >> Table of Contents >> Abstract

Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 1   pp. 205-212
An adaptive routing mechanism for P2P resource discovery

Full Article Text: Download PDF of full textBuy this articleGet full text from IEEE Xplore

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CCGRID.2005.1558556
Send link to a friend

Abstract
The key to the usability of large-scale decentralize peer-to-peer (P2P) systems, and one of the most challenge design aspects, is efficient mechanism for distributed resource discovery. Unstructured P2P networks are very attractive because they do not suffer the limitations of centralized systems an the drawbacks of highly structured approaches. However the search algorithms are usually based on simple flooding scheme generating large loads on the network participants. In this paper to address this major limitation, we present the design an evaluation of an innovative searching protocol in unstructured P2P networks. The approach aims at dynamically adapting the network topology to peers' interests, on the basis of a peer neighbor selection algorithm. Each peer builds and maintains profiles of other peers, describing their interests and resources. Given a query, it is consequently routed according to the predicted match with other peers' profiles. Experimental evaluation shows that the approach is able to exploit query interactions among users, in order to dynamically group peer nodes in clusters containing peers with shared interests and organized into a small world topology.
Additional Information

Citation:  L. Gatani, G. Lo Re, S. Gaglio, "An adaptive routing mechanism for P2P resource discovery," ccgrid, pp. 205-212,  Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 1,  2005

Similar Articles

Abstract Contents
Abstract
Citation




Free access to

  • Abstracts
  • Selected PDFs

Electronic subscribers login to:

  • Access HTML/PDFs of full text articles

Subscription information

Get a Web account

PDFs require Adobe Acrobat Reader.

Peer Review Notice

Give us Feedback