Design and Implementation of a Fuzzy Expert System for Database Monitoring

• Main Authors: Ya-TingLi, 李雅婷
• Other Authors: Wei-Guang Teng
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/wcwp72

碩士 === 國立成功大學 === 工程科學系碩士在職專班 === 105 === With the rapid development of cloud technology and Internet of things, the amount of data in corporate and individual production increases at a very fast speed. The way of appropriately using and managing large-scale databases has already become a crucial task. Nevertheless, it is usually difficult to train qualified and experienced database administrators. Therefore, we propose to devise automation approaches for database monitoring in this work. We collect real alarm messages and perform thorough analysis so as to identify corresponding causes and reduce severe losses. Specifically, the fuzzy theory is introduced to develop an expert system for monitoring variations of significant indicators. Empirical studies show that our proposed scheme is feasible in handling possible alarm messages. Furthermore, early warning can be delivered to the monitoring staff in some cases.