How to Deal with Cliques at Work

Benjamin Djahandideh 1 François Goasdoué 2 Zoi Kaoudi 3 Ioana Manolescu 1, 4 Jorge Quiané-Ruiz 5 Stamatis Zampetakis 1, 4, *
* Corresponding author
1 OAK - Database optimizations and architectures for complex large data
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
2 PILGRIM - Gradedness, Imprecision, and Mediation in Database Management Systems
IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
Abstract : RDF is an increasingly popular data model for many practical applications, leading to large volumes of RDF being created and exploited. Efficient RDF data management methods are crucial to allow applications to scale. In this demonstration, we showcase the high efficiency of CliqueSquare, an RDF data management system designed on top of a MapReduce-like infrastructure. We demonstrate three major aspects of CliqueSquare: (i) significantly reducing the network traffic during query evaluation, (ii) evaluating even large queries into few MapReduce jobs, (iii) improving query performance by producing DAG-shaped plans. In all demonstration scenarios, the audience is invited to interact with the system to ask queries, explore and control the features of the platform's many optimization algorithms, and finally select and monitor the evaluation of plans in two available clusters.
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Submitted on : Tuesday, October 7, 2014 - 2:11:57 PM
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Benjamin Djahandideh, François Goasdoué, Zoi Kaoudi, Ioana Manolescu, Jorge Quiané-Ruiz, et al.. How to Deal with Cliques at Work. BDA'2014: 30e journées Bases de Données Avancées, Oct 2014, Grenoble-Autrans, France. 2014. 〈hal-01072060〉

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