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Cluster Based Hybrid Hash Join: Analysis and Evaluation
Chicago, Illinois September 23-September 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CLUSTR.2002.1137783Fourth IEEE International Conference ...
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Erich Schikuta, Peter Kirkovits, "Cluster Based Hybrid Hash Join: Analysis and Evaluation," Cluster Computing, IEEE International Conference on, pp. 461, Fourth IEEE International Conference on Cluster Computing (CLUSTER'02), 2002.
 
 
BibTex
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@article{ 10.1109/CLUSTR.2002.1137783,
author = {Erich Schikuta and Peter Kirkovits},
title = {Cluster Based Hybrid Hash Join: Analysis and Evaluation},
journal ={Cluster Computing, IEEE International Conference on},
volume = {0},
year = {2002},
isbn = {0-7695-1745-5},
pages = {461},
doi = {http://doi.ieeecomputersociety.org/10.1109/CLUSTR.2002.1137783},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Cluster Computing, IEEE International Conference on
TI - Cluster Based Hybrid Hash Join: Analysis and Evaluation
SN - 0-7695-1745-5
SP
EP
A1 - Erich Schikuta,
A1 - Peter Kirkovits,
PY - 2002
KW - null
VL - 0
JA - Cluster Computing, IEEE International Conference on
ER -
 
Erich Schikuta, University of Vienna
Peter Kirkovits, University of Vienna
The join is the most important, but also the most time consuming operation in relational database systems. We implemented the parallel Hybrid Hash Join algorithm on a PC-cluster architecture and analyzed its performance behavior. We show that off-the-shelf, cost saving cluster systems can build a viable platform for parallel database systems.
Citation:
Erich Schikuta, Peter Kirkovits, "Cluster Based Hybrid Hash Join: Analysis and Evaluation," cluster, pp.461, Fourth IEEE International Conference on Cluster Computing (CLUSTER'02), 2002
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