Degree Name

MS (Master of Science)

Program

Computer and Information Science

Date of Award

5-2013

Committee Chair or Co-Chairs

Ronald Zucker

Committee Members

Ronald Zucker, Don Bailes, Tony Pittarese

Abstract

Online Analytical Processing (OLAP) has become the de facto data analysis technology used in modern decision support systems. It has experienced tremendous growth, and is among the top priorities for enterprises. Open source systems have become an effective alternative to proprietary systems in terms of cost and function. The purpose of the study was to investigate the performance of two leading database storage engines in an open source OLAP environment. Despite recent upgrades in performance features for the InnoDB database engine, the MyISAM database engine is shown to outperform the InnoDB database engine under a standard benchmark. This result was demonstrated in tests that included concurrent user sessions as well as asynchronous user sessions using data sets ranging from 6GB to 12GB. Although MyISAM outperformed InnoDB in all test performed, InnoDB provides ACID compliant transaction technologies are beneficial in a hybrid OLAP/OLTP system.

Document Type

Thesis - Open Access

Copyright

Copyright by the authors.

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