DBSitter: An Intelligent Tool for Database Administration

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. Thus, DBSitter consists of a Multi-Agent system for automatic monitoring and fault correcting in a Database environment. In searching for better solutions, the system can also interact with the Database Administrator. In DBSitter problems are represented as Cases, and the main functionalities are failure prediction and adaptation of problem-solving capabilities through the learning mechanism.