Optimal Choice of Data Restructuring Points.
Leon E. Winslow, J. C. Lee:
Optimal Choice of Data Restructuring Points.
VLDB 1975: 353-363@inproceedings{DBLP:conf/vldb/WinslowL75,
author = {Leon E. Winslow and
J. C. Lee},
editor = {Douglas S. Kerr},
title = {Optimal Choice of Data Restructuring Points},
booktitle = {Proceedings of the International Conference on Very Large Data
Bases, September 22-24, 1975, Framingham, Massachusetts, USA},
publisher = {ACM},
year = {1975},
pages = {353-363},
ee = {db/conf/vldb/WinslowL75.html},
crossref = {DBLP:conf/vldb/75},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Abstract
Maintaining access efficiency to a data base as updates and/or usage
patterns change often requires restructuring the data base. While analytical methods are available for determlning the optimal point to restructure, they assume the mean access cost is a smooth function of time or the number of
accesses and can be measured exactly at any point in time. The access cost inpractice often varies, at least in the short run, in a random manner. This
implies a non- zero probability of deciding the optimal reorganization point has been reached when in fact it has not. Determination of the optimal
reorganization point must take into account the random behavior of the accesscost and the probability (and cost) of deciding too early or too late to
perform the reorganization. A technique for choosing the optimal
reorganization point subject to random variation in the access cost is
developed and some examples are presented.
Copyright © 1975 by the ACM,
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Printed Edition
Douglas S. Kerr (Ed.):
Proceedings of the International Conference on Very Large Data Bases, September 22-24, 1975, Framingham, Massachusetts, USA.
ACM 1975
Contents
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Optimum Data Base Reorganization Points.
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Self-Organising Data Management Systems.
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Copyright © Tue Mar 16 02:21:54 2010
by Michael Ley (ley@uni-trier.de)