Clustering-based Query Routing in Cooperative Semi-structured Peer to Peer Networks

Rami S. Alkhawaldeh, Joemon M. Jose, Deepak Padmanabhan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
323 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationProceedings of the 28th International Conference on Tools with Artificial Intelligence (ICTAI 2016)
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)978-1-5090-4459-7
Publication statusPublished - 16 Jan 2017
EventICTAI 2016: 28th IEEE International Conference on Tools with Artificial Intelligence - USA, San Jose, United States
Duration: 06 Nov 201608 Nov 2016

Publication series

NameInternational Conference on Tools with Artificial Intelligence (ICTAI)
ISSN (Electronic)2375-0197


ConferenceICTAI 2016
Country/TerritoryUnited States
CitySan Jose
Internet address


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