Cluster Based Hybrid Hash Join: Analysis and Evaluation

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	Similar Articles Articles by Erich Schikuta Articles by Peter Kirkovits

Fourth IEEE International Conference on Cluster Computing (CLUSTER'02)

Chicago, Illinois

September 23-September 26

ISBN: 0-7695-1745-5

	ASCII Text	x
	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	x
	@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	x
	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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CLUSTR.2002.1137783

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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