Concurrency Control Performance Modeling: Alternatives and Implications.
Rakesh Agrawal, Michael J. Carey, Miron Livny:
Concurrency Control Performance Modeling: Alternatives and Implications.
ACM Trans. Database Syst. 12(4): 609-654(1987)@article{DBLP:journals/tods/AgrawalCL87,
author = {Rakesh Agrawal and
Michael J. Carey and
Miron Livny},
title = {Concurrency Control Performance Modeling: Alternatives and Implications},
journal = {ACM Trans. Database Syst.},
volume = {12},
number = {4},
year = {1987},
pages = {609-654},
ee = {http://doi.acm.org/10.1145/32204.32220, db/journals/tods/AgrawalCL87.html},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
A number of recent studies have examined the performance of
concurrency control algorithms for database management systems.
The results reported to date, rather than being definitive,
have tended to be contradictory. In this paper, rather than
presenting "yet another algorithm performance study," we
critically investigate the assumptions made in the models used
in past studies and their implications. We employ a fairly
complete model of a database environment for studying the
relative performance of three different approaches to the
concurrency control problem under a variety of modeling
assumptions. The three approaches studied represent different
extremes in how transaction conflicts are dealt with, and the
assumptions addressed pertain to the nature of the database
system's resources, how transaction restarts are modeled, and
the amount of information available to the concurrency control
algorithm about transactions' reference strings. We show that
differences in the underlying assumptions explain the seemingly
contradictory performance results. We also address the question
of how realistic the various assumptions are for actual
database systems.
Copyright © 1987 by the ACM,
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Conference Version
Rakesh Agrawal, Michael J. Carey, Miron Livny:
Models for Studying Concurrency Control Performance: Alternatives and Implications.
SIGMOD Conference 1985: 108-121 BibTeX
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ACM SIGMOD Digital Review 2: (2000)
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CAPPLES - A Capacity Planning and Performance Analysis Method for the Migration of Legacy Systems.
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An Adaptable Constrained Locking Protocol for High Data Contention Environments.
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Distributed Optimistic Concurrency Control Methods for High-Performance Transaction Processing.
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Concurrency Control: Methods, Performance, and Analysis.
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