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)

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.
LanguageEnglish
Title of host publicationProceedings of the 28th International Conference on Tools with Artificial Intelligence (ICTAI 2016)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)978-1-5090-4459-7
DOIs
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
http://www.ictai2016.com/

Publication series

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

Conference

ConferenceICTAI 2016
CountryUnited States
CitySan Jose
Period06/11/201608/11/2016
Internet address

Fingerprint

Peer to peer networks
Testbeds
Information retrieval

Cite this

Alkhawaldeh, R. S., Jose, J. M., & Padmanabhan, D. (2017). Clustering-based Query Routing in Cooperative Semi-structured Peer to Peer Networks. In Proceedings of the 28th International Conference on Tools with Artificial Intelligence (ICTAI 2016) (International Conference on Tools with Artificial Intelligence (ICTAI) ). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICTAI.2016.0064
Alkhawaldeh, Rami S. ; Jose, Joemon M. ; Padmanabhan, Deepak. / Clustering-based Query Routing in Cooperative Semi-structured Peer to Peer Networks. Proceedings of the 28th International Conference on Tools with Artificial Intelligence (ICTAI 2016). Institute of Electrical and Electronics Engineers (IEEE), 2017. (International Conference on Tools with Artificial Intelligence (ICTAI) ).
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Alkhawaldeh, RS, Jose, JM & Padmanabhan, D 2017, Clustering-based Query Routing in Cooperative Semi-structured Peer to Peer Networks. in Proceedings of the 28th International Conference on Tools with Artificial Intelligence (ICTAI 2016). International Conference on Tools with Artificial Intelligence (ICTAI) , Institute of Electrical and Electronics Engineers (IEEE), ICTAI 2016, San Jose, United States, 06/11/2016. https://doi.org/10.1109/ICTAI.2016.0064

Clustering-based Query Routing in Cooperative Semi-structured Peer to Peer Networks. / Alkhawaldeh, Rami S.; Jose, Joemon M.; Padmanabhan, Deepak.

Proceedings of the 28th International Conference on Tools with Artificial Intelligence (ICTAI 2016). Institute of Electrical and Electronics Engineers (IEEE), 2017. (International Conference on Tools with Artificial Intelligence (ICTAI) ).

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

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Alkhawaldeh RS, Jose JM, Padmanabhan D. Clustering-based Query Routing in Cooperative Semi-structured Peer to Peer Networks. In Proceedings of the 28th International Conference on Tools with Artificial Intelligence (ICTAI 2016). Institute of Electrical and Electronics Engineers (IEEE). 2017. (International Conference on Tools with Artificial Intelligence (ICTAI) ). https://doi.org/10.1109/ICTAI.2016.0064