A machine learning technique for monitoring database systems

H. Mathkour, A. Al-Salamah
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引用次数: 2

Abstract

A machine learning technique based database monitoring system is introduced. We report on a system which makes use of effective machine learning techniques to analyze user's queries and make appropriate, valuable suggestions to the database administrator (DBA) to fine tune the performance of the database at hand. The system uses several machine learning algorithms to monitor the queries and attempt to extract commonalities exhibited by the queries. The concepts learnt are passed to another module of the system which will perform the restructuring of the database. We also report on the design and development of a carefully selected database application and the set of queries formed for the system.
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一种用于监控数据库系统的机器学习技术
介绍了一种基于机器学习技术的数据库监控系统。我们报告了一个系统,它利用有效的机器学习技术来分析用户的查询,并向数据库管理员(DBA)提出适当的、有价值的建议,以微调手头数据库的性能。该系统使用几种机器学习算法来监控查询,并尝试提取查询所显示的共性。学习到的概念被传递到系统的另一个模块,该模块将执行数据库的重组。我们还报告了精心挑选的数据库应用程序的设计和开发,以及为系统形成的查询集。
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