An Empirical Comparison of B-Trees, Compact B-Trees and Multiway Trees.
David M. Arnow, Aaron M. Tenenbaum:
An Empirical Comparison of B-Trees, Compact B-Trees and Multiway Trees.
SIGMOD Conference 1984: 33-46@inproceedings{DBLP:conf/sigmod/ArnowT84,
author = {David M. Arnow and
Aaron M. Tenenbaum},
editor = {Beatrice Yormark},
title = {An Empirical Comparison of B-Trees, Compact B-Trees and Multiway
Trees},
booktitle = {SIGMOD'84, Proceedings of Annual Meeting, Boston, Massachusetts,
June 18-21, 1984},
publisher = {ACM Press},
year = {1984},
pages = {33-46},
ee = {http://doi.acm.org/10.1145/602259.602265, db/conf/sigmod/ArnowT84.html},
crossref = {DBLP:conf/sigmod/84},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
It is well-known that the B-tree data structure yields excellent worst-case
search costs and for that reason is widely employed in the organization of
external files and in the implementation of data bases. In this paper, we examine
general B-trees empirically and compare them with a less restrictive structure,
the general multiway tree, and a more restrictive structure, the compact B-tree.
We compare search costs, insertion costs, and space costs of these three
structures for both small and large orders and indicate their relative utility
for large and small data sets. Although there are cases when general multiway
trees are more effective than B-trees, this is not the case for most practical
situations. Compact B-trees are also shown to degrade rapidly in the presence
of insertions and are therefore only useful for static data sets.
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BibTeX
Printed Edition
Beatrice Yormark (Ed.):
SIGMOD'84, Proceedings of Annual Meeting, Boston, Massachusetts, June 18-21, 1984.
ACM Press 1984 BibTeX
,
SIGMOD Record 14(2)
Contents
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BibTeX
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