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Multi-dimensional partitioning for massively parallel database machines
San Remo, Italy January 25-January 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EMPDP.1995.3891273rd Euromicro Workshop on Parallel an ...
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A. Polo, Dept. of Comput. Sci., Univ. of Extremadura, Spain
M. Barrena, Dept. of Comput. Sci., Univ. of Extremadura, Spain
J. Hernandez, Dept. of Comput. Sci., Univ. of Extremadura, Spain
J.M. Martinez, Dept. of Comput. Sci., Univ. of Extremadura, Spain
P.De. Miguel, Dept. of Comput. Sci., Univ. of Extremadura, Spain
M. Nieto, Dept. of Comput. Sci., Univ. of Extremadura, Spain
Harder, new requirements are appearing in the area of database systems. The popularity reached by parallel database systems during the past decade, due to their high performance and scalability
Index Terms:
database machines; distributed databases; query processing; software performance evaluation; relational databases; tree data structures; parallel machines; multidimensional partitioning; massively parallel database machines; requirements; high performance; scalability; processing tools; data declustering; parallel relational database; m-Q-tree indexes; multiattribute index structure; access method; complex queries
Citation:
A. Polo, M. Barrena, J. Hernandez, J.M. Martinez, P.De. Miguel, M. Nieto, "Multi-dimensional partitioning for massively parallel database machines," pdp, pp.244, 3rd Euromicro Workshop on Parallel and Distributed Processing, 1995
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