Automatic Database Management System Tuning Through Large-scale Machine Learning-Reference-Cited by-同舟云学术

Automatic Database Management System Tuning Through Large-scale Machine Learning

Published:2017-05-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 ACM International Conference on Management of Data
language:
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Author:

Van Aken Dana¹,Pavlo Andrew¹,Gordon Geoffrey J.¹,Zhang Bohan²

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

2. Peking University, Beijing, China

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3035918.3064029

Reference65 articles.

1. MySQL -- InnoDB startup options and system variables. http: //dev.mysql.com/doc/refman/5.6/en/innodb-parameters.html. MySQL -- InnoDB startup options and system variables. http: //dev.mysql.com/doc/refman/5.6/en/innodb-parameters.html.

2. MySQL Tuning Primer Script. https://launchpad.net/mysql-tuning-primer. MySQL Tuning Primer Script. https://launchpad.net/mysql-tuning-primer.

3. OLTPBenchmark.com. http://oltpbenchmark.com. OLTPBenchmark.com. http://oltpbenchmark.com.

4. PostgreSQL Configuration Wizard. http://pgfoundry.org/projects/pgtune/. PostgreSQL Configuration Wizard. http://pgfoundry.org/projects/pgtune/.

5. scikit-learn Documentation -- Factor Analysis. http://scikit-learn.org/stable/modules/generated/sklearn. decomposition.FactorAnalysis.html. scikit-learn Documentation -- Factor Analysis. http://scikit-learn.org/stable/modules/generated/sklearn. decomposition.FactorAnalysis.html.

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