First Advisor

Kuhn, Darl

Second Advisor

Ina, Donald J.

Third Advisor

Birkenheuer, Nancy


College for Professional Studies

Degree Name

MS Software and Information Systems


School of Computer & Information Science

Document Type

Thesis - Open Access

Number of Pages

164 pages


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

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