Date of Award


Publication Type

Master Thesis

Degree Name



Computer Science

First Advisor

Morrissey, J. M.,


Computer Science.



Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.


A need for effective systems and tools for information retrieval and analysis is becoming more apparent with the continuous and rapid growth of information sources and information users. Query Optimization, thus, is a key research area in Database Management Systems. A new JAL dynamic algorithm is presented. This is an efficient method of creating the query plans dynamically without having to provide extra costly information to help decision-making. With no monitoring required, the query plans are generated on the fly and the query response time is minimized. This heuristic is not only dynamic but it also ensures that the query response time is either less than or equal to the existing static query plans without increasing the complexity of the query processing. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2002 .S23. Source: Masters Abstracts International, Volume: 41-04, page: 1119. Adviser: J. M. Morrissey. Thesis (M.Sc.)--University of Windsor (Canada), 2002.