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» Practical Algorithms for Tracking Database Join Sizes
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SIGMOD
2011
ACM
179views Database» more  SIGMOD 2011»
12 years 10 months ago
How soccer players would do stream joins
In spite of the omnipresence of parallel (multi-core) systems, the predominant strategy to evaluate window-based stream joins is still strictly sequential, mostly just straightfor...
Jens Teubner, René Müller
SSD
2001
Springer
120views Database» more  SSD 2001»
13 years 12 months ago
On Multi-way Spatial Joins with Direction Predicates
Spatial joins are fundamental in spatial databases. Over the last decade, the primary focus of research has been on joins with the predicate “region intersection.” In modern da...
Hongjun Zhu, Jianwen Su, Oscar H. Ibarra
VLDB
2005
ACM
121views Database» more  VLDB 2005»
14 years 7 months ago
Join operations in temporal databases
Joins are arguably the most important relational operators. Poor implementations are tantamount to computing the Cartesian product of the input relations. In a temporal database, t...
Dengfeng Gao, Christian S. Jensen, Richard T. Snod...
SSDBM
2003
IEEE
196views Database» more  SSDBM 2003»
14 years 21 days ago
Stream Window Join: Tracking Moving Objects in Sensor-Network Databases
The widespread use of sensor networks presents revolutionary opportunities for life and environmental science applications. Many of these applications involve continuous queries t...
Moustafa A. Hammad, Walid G. Aref, Ahmed K. Elmaga...
IPPS
2003
IEEE
14 years 21 days ago
Performance Modeling of the Grace Hash Join on Cluster Architectures
Aim of the paper is to develop a concise but comprehensive analytical model for the well-known Grace Hash Join algorithm on cost effective cluster architectures. This approach is ...
Erich Schikuta