DHTJoin: Processing Continuous Join Queries Using DHT Networks

Wenceslao Palma 1 Reza Akbarinia 2 Esther Pacitti 3, 2 Patrick Valduriez 3, 2
1 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 : Continuous query processing in data stream management systems (DSMS) has received considerable attention recently. Many applications share the same need for processing data streams in a continuous fashion. For most distributed streaming applications, the centralized processing of continuous queries over distributed data is simply not viable. This paper addresses the problem of computing approximate answers to continuous join queries over distributed data streams. We present a new method, called DHTJoin, which combines hash-based placement of tuples in a Distributed Hash Table (DHT) and dissemination of queries by exploiting the embedded trees in the underlying DHT, thereby incuring little overhead. DHTJoin also deals with join attribute value skew which may hurt load balancing and result completeness. We provide a performance evaluation of DHTJoin which shows that it can achieve significant performance gains in terms of network traffic.
Type de document :
Article dans une revue
Distributed and Parallel Databases, Springer, 2009, pp.291-317. 〈10.1007/s10619-009-7054-7〉
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Contributeur : Wenceslao Palma <>
Soumis le : vendredi 21 août 2009 - 02:59:30
Dernière modification le : mardi 4 décembre 2018 - 14:32:04
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Wenceslao Palma, Reza Akbarinia, Esther Pacitti, Patrick Valduriez. DHTJoin: Processing Continuous Join Queries Using DHT Networks. Distributed and Parallel Databases, Springer, 2009, pp.291-317. 〈10.1007/s10619-009-7054-7〉. 〈inria-00410473〉



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