Database administration routines involve manual or semi-automatic methods for monitoring the environment and solving problems that arise. In this work, we propose a novel alternative approach to this task, which unifies two Artificial Intelligence techniques: Case Based Reasoning and Intelligent Agents. Our prototype, DBSitter, consists of a Multi-agent system for automatic monitoring and fault correcting in a relational DBMS, where problems are represented as Cases. In searching for better solutions, the system can also interact with the Database Administrator. The main functionalities provided are failure prediction and adaptation of problem-solving capabilities through the chosen learning mechanism. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Carneiro, A., Passos, R., Belian, R., Costa, T., Tedesco, P., & Salgado, A. C. (2004). DBSitter: An intelligent tool for database administration. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3180, 171–180. https://doi.org/10.1007/978-3-540-30075-5_17
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