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ASAP Top-k Query Processing in Unstructured P2P Systems

William Kokou Dedzoe 1 Philippe Lamarre 1, 2 Reza Akbarinia 3 Patrick Valduriez 2, 3 
2 ATLAS - Complex data management in distributed systems
UN - Université de Nantes, Inria Rennes – Bretagne Atlantique
3 ZENITH - Scientific Data Management
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier, CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : Top-k query processing techniques are useful in unstructured peer-to-peer (P2P) systems, to avoid overwhelming users with too many results. However, existing approaches suffer from long waiting times. This is because top-k results are returned only when all queried peers have finished processing the query. As a result, query response time is dominated by the slowest queried peer. In this paper, we address this users' waiting time problem. For this, we revisit top-k query processing in P2P systems by introducing two novel notions in addition to response time: the stabilization time and the cumulative quality gap. Using thèse notions, we formally define the as-soon-as-possible (ASAP) top-k processing problem. Then, we propose a family of algorithms called ASAP to deal with this problem. We validated our solution through implementation and extensive experimentation. The results show that ASAP significantly outperforms baseline algorithms by returning final top-k result to users in much better times.
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Submitted on : Monday, July 11, 2011 - 5:07:57 PM
Last modification on : Friday, August 5, 2022 - 3:03:28 PM
Long-term archiving on: : Wednesday, October 12, 2011 - 2:27:57 AM


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  • HAL Id : lirmm-00607926, version 1


William Kokou Dedzoe, Philippe Lamarre, Reza Akbarinia, Patrick Valduriez. ASAP Top-k Query Processing in Unstructured P2P Systems. IEEE Tenth International Conference on Peer-To-Peer Computing (P2P), Aug 2011, Kyoto, Netherlands. pp.1-10. ⟨lirmm-00607926⟩



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