First Advisor

Kuhn, Darl

Second Advisor

Ina, Donald J.

Third Advisor

Birkenheuer, Nancy

College

College for Professional Studies

Degree Name

MS Software and Information Systems

School

School of Computer & Information Science

Document Type

Thesis - Open Access

Number of Pages

164 pages

Abstract

Manual physical configuration and tuning of database servers, is a complicated task requiring a high level of expertise. Database administrators must consider numerous possibilities, to determine a candidate configuration for implementation. In recent times database vendors have responded to this problem, providing solutions which can automatically configure and tune their products. Poor configuration choices, resulting in performance degradation commonplace in manual configurations, have been significantly reduced in these solutions. However, no such solution exists for MySQL Community Server. This thesis, proposes a novel framework for automatically tuning a MySQL Community Server. A first iteration of the framework has been built and is presented in this paper together with its performance measurements.

Date of Award

Summer 2010

Location (Creation)

Denver, Colorado

Rights Statement

All content in this Collection is owned by and subject to the exclusive control of Regis University and the authors of the materials. It is available only for research purposes and may not be used in violation of copyright laws or for unlawful purposes. The materials may not be downloaded in whole or in part without permission of the copyright holder or as otherwise authorized in the “fair use” standards of the U.S. copyright laws and regulations.

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