Clustering-Based Query Routing in Cooperative Semi-Structured Peer to Peer Networks

Alkhawaldeh, R. S., Jose, J. M. and P, D. (2017) Clustering-Based Query Routing in Cooperative Semi-Structured Peer to Peer Networks. In: 28th International Conference on Tools with Artificial Intelligence (ICTAI 2016), San Jose, CA, USA, 6-8 Nov 2016, pp. 378-382. ISBN 9781509044597 (doi: 10.1109/ICTAI.2016.0064)

Abstract

We consider the problem of resource selection in clustered Peer-to-Peer Information Retrieval (P2P IR) networks with cooperative peers. The clustered P2P IR framework presents a significant departure from general P2P IR architectures by employing clustering to ensure content coherence between resources at the resource selection layer, without disturbing document allocation. We propose that such a property could be leveraged in resource selection by adapting well-studied and popular inverted lists for centralized document retrieval. Accordingly, we propose the Inverted PeerCluster Index (IPI), an approach that adapts the inverted lists, in a straightforward manner, for resource selection in clustered P2P IR. IPI also encompasses a strikingly simple peer-specific scoring mechanism that exploits the said index for resource selection. Through an extensive empirical analysis on P2P IR testbeds, we establish that IPI competes well with the sophisticated state-of-the-art methods in virtually every parameter of interest for the resource selection task, in the context of clustered P2P IR.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Jose, Professor Joemon and Alkhawaldeh, Mr Rami Suleiman
• Authors: Alkhawaldeh, R. S., Jose, J. M., and P, D.
• College/School: College of Science and Engineering > School of Computing Science
• ISSN: 2375-0197
• ISBN: 9781509044597
• Copyright Holders: Copyright © 2016 IEEE
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher