By Topic

Content-based Search using Term Aggregation and Classification over Hybrid Peer-to-Peer Systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)

In this paper, we propose a method to support content-based search, one of the challenges in Peer-to-Peer file sharing system. The proposed method is based on a hybrid structure, which is a combination of a Chord ring and a balanced tree. The tree is used to aggregate and classify terms while the Chord ring is used to index terms of nodes in the tree. At every node in the tree, the system classifies terms as either important or unimportant. Important terms of a node, which can distinguish the node from its neighbor nodes, are indexed in the Chord ring while unimportant terms that are either popular or rare terms are aggregated to higher level nodes. Based on the classification, the system can process queries on the fly without the need of global knowledge. Therefore, our system can avoid the problem of bottleneck at nodes keeping global knowledge and the expensive cost of synchronization global knowledge among these nodes. We have done extensive experiments to validate the effectiveness and efficiency of our proposal.

Published in:

Network and Parallel Computing Workshops, 2007. NPC Workshops. IFIP International Conference on

Date of Conference:

18-21 Sept. 2007