The Cubetree Storage Organization
Nick Roussopoulos, Yannis Kotidis
Full Paper (PDF)

Abstract
The Cubetree Storage Organization (CSO) logically and physically clusters materialized-views data, multi-dimensional indices on them, and computed aggregate values all in one compact and tight storage structure that uses a fraction of the conventional table-based space. This is a breakthrough technology for storing and accessing multi-dimensional data in terms of storage reduction, query performance and incremental bulk update speed.

BIBTEX

@inproceedings{DBLP:conf/vldb/RoussopoulosK98,
author = {Nick Roussopoulos and
Yannis Kotidis},
editor = {Ashish Gupta and
Oded Shmueli and
Jennifer Widom},
title = {The Cubetree Storage Organization},
booktitle = {VLDB'98, Proceedings of 24rd International Conference on Very
Large Data Bases, August 24-27, 1998, New York City, New York,
USA},
publisher = {Morgan Kaufmann},
year = {1998},
isbn = {1-55860-566-5},
pages = {700},
crossref = {DBLP:conf/vldb/98},
bibsource = {DBLP, http://dblp.uni-trier.de}
}


DBLP: Copyright ©1999 by Michael Ley (ley@uni-trier.de).