Distributed Processing of Continous Join Queries using DHT Networks

Wenceslao Palma 1, 2 Reza Akbarinia 2 Esther Pacitti 1, 2 Patrick Valduriez 1, 2
1 LINA - Laboratoire d'Informatique de Nantes Atlantique
2 ATLAS - Complex data management in distributed systems
UN - Université de Nantes, Inria Rennes – Bretagne Atlantique
Abstract : This paper addresses the problem of computing approximate answers to continuous join queries. We present a new method, called DHTJoin, which combines hash-based placement of tuples in a Distributed Hash Table (DHT) and dissemination of queries exploiting the trees formed by the underlying DHT links. DHTJoin distributes the query workload across multiple DHT nodes and provides a mechanism that avoids indexing tuples that cannot contribute to join results. We provide a performance evaluation which shows that DHTJoin can achieve significant performance gains in terms of network traffic.
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Communication dans un congrès
ACM. 2nd International Workshop on Data Management in Peer-to-Peer Systems (DAMAP), Mar 2009, Saint-Petersbourg, Russia. Vol. 360, pp.34-41, 2009, ACM International Conference Proceeding Series
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Wenceslao Palma, Reza Akbarinia, Esther Pacitti, Patrick Valduriez. Distributed Processing of Continous Join Queries using DHT Networks. ACM. 2nd International Workshop on Data Management in Peer-to-Peer Systems (DAMAP), Mar 2009, Saint-Petersbourg, Russia. Vol. 360, pp.34-41, 2009, ACM International Conference Proceeding Series. 〈inria-00375277v2〉

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