Self-Management for Autonomic Relational Database Systems

The featurism of commercial relational database management systems makes these systems applicable for a wide variety of applications. But their administration is a complex task and causes a high total cost of ownership for database systems. Autonomic (self-managing) database systems intend to reduce administration complexity and costs by automatically reacting to changing system loads and external events.
In the SARD research project we develop and evaluate techniques, which serve as a basis of a system-wide self-management logic for autonomic relational database systems:

• Light-weight monitoring of the system state in order to detect the need for reconfiguration analysis
• Modelling of DBMS components and behaviour as a basis for reconfiguration decisions
• Definition and monitoring of business goals for autonomic databases