A Satisfaction Balanced Query Allocation Process for Distributed Information Systems

Abstract : We consider a distributed information system that allows autonomous consumers to query autonomous providers. We focus on the problem of query allocation from a new point of view, by considering consumers and providers' satisfaction in addition to query load. We define satisfaction as a long-run notion based on the consumers and providers' intentions. Intuitively, a participant should obtain good satisfaction as far as it (the participant) is adequate to the system. We propose and validate a mediation process, called SBMediation, which is compared to CapacityBased query allocation. The experimental results show that SBMediation significantly outperforms CapacityBased when confronted to autonomous participants.
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Communication dans un congrès
Base de Données Avancées (BDA), Oct 2007, Marseille, France. 2007
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Contributeur : Jorge-Arnulfo Quiane-Ruiz <>
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Dernière modification le : mercredi 21 novembre 2018 - 19:26:02
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Jorge-Arnulfo Quiane-Ruiz, Philippe Lamarre, Sylvie Cazalens, Patrick Valduriez. A Satisfaction Balanced Query Allocation Process for Distributed Information Systems. Base de Données Avancées (BDA), Oct 2007, Marseille, France. 2007. 〈hal-00374995〉

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