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Performance Tuning in Database Management System based on Analysis of Combination of Time and Cost Parameter through Neural Network Learning

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 96 - Number 1
Year of Publication: 2014
Authors:
Bindu Sharma
Mahesh Singh
10.5120/16761-6322

Bindu Sharma and Mahesh Singh. Article: Performance Tuning in Database Management System based on Analysis of Combination of Time and Cost Parameter through Neural Network Learning. International Journal of Computer Applications 96(1):32-34, June 2014. Full text available. BibTeX

@article{key:article,
	author = {Bindu Sharma and Mahesh Singh},
	title = {Article: Performance Tuning in Database Management System based on Analysis of Combination of Time and Cost Parameter through Neural Network Learning},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {96},
	number = {1},
	pages = {32-34},
	month = {June},
	note = {Full text available}
}

Abstract

Performance tuning in database management system means enhancing the performance of database, i. e. minimizing the response time at a very optimum cost. Query optimization is one of the important aspects of performance tuning. Lots of research work has been done in this field but it is still ongoing process. To achieve high performance at a very low cost identification of KPIs (Key performance indicators) is necessary, so that by altering these parameters dynamically minimum response time with optimum value can be achieved. This paper proposes how to filter cost and time parameters, to prioritize these parameters to get minimum response time. The approach proposes in this paper will be implemented by using neural network learning rules.

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