The Index Suggestion Problem for Object Database Applications.
Eric Hughes, Marianne Winslett:
The Index Suggestion Problem for Object Database Applications.
CIKM 1995: 50-57@inproceedings{DBLP:conf/cikm/HughesW95,
author = {Eric Hughes and
Marianne Winslett},
title = {The Index Suggestion Problem for Object Database Applications},
booktitle = {CIKM '95, Proceedings of the 1995 International Conference on
Information and Knowledge Management, November 28 - December
2, 1995, Baltimore, Maryland, USA},
publisher = {ACM},
year = {1995},
pages = {50-57},
ee = {db/conf/cikm/HughesW95.html, http://doi.acm.org/10.1145/221270.221325},
crossref = {DBLP:conf/cikm/95},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
The index suggestion problem for an object database management system (ODBMS) application is to automatically identify indexes which may speed up the application.
We discuss how index choice for an ODBMS application differs from relational database (RDBMS) index optimization, present novel parts of an intuitive cost model for index-related ODBMS operations, and describe the results of experiments designed to validate the model.
The model is used to find a list of candidate indexes with expected benefits for an example execution of the application with the user's test data.
Our results demonstrate that an intuitive approach can be used to discover and compare access paths which may improve the performance of the application.
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Printed Edition
CIKM '95, Proceedings of the 1995 International Conference on Information and Knowledge Management, November 28 - December 2, 1995, Baltimore, Maryland, USA.
ACM 1995
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