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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