Title
Efficient Processing of Continuous Join Queries Using Distributed Hash Tables
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 using a gossip style protocol. We provide a performance evaluation of DHTJoin which shows that DHTJoin can achieve significant performance gains in terms of network traffic.
Year
DOI
Venue
2008
10.1007/978-3-540-85451-7_67
Euro-Par
Keywords
Field
DocType
efficient processing,continuous join,hash table,hash tables,gossip style protocol,approximate answer,network traffic,new method,hash-based placement,performance evaluation,significant performance gain,distributed hash table
Hash join,Hash tree,Double hashing,Computer science,Theoretical computer science,Merkle tree,Hash function,Hash chain,Dynamic perfect hashing,Hash list,Distributed computing
Conference
Volume
ISSN
Citations 
5168
0302-9743
3
PageRank 
References 
Authors
0.37
21
4
Name
Order
Citations
PageRank
Wenceslao Palma1685.92
Reza Akbarinia225425.77
Esther Pacitti375793.78
Patrick Valduriez434591306.40