Adaptive self-tuning memory in DB2
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
AppSleuth: a tool for database tuning at the application level
Proceedings of the 16th International Conference on Extending Database Technology
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Thevast majority of the world's structured data are now stored and managed by relational database management systems (RDBMSs). These systems provide powerful data management capabilities. However, as the power and functionality of these systems has grown, so has the complexity of their administration. In this paper, we show how the IBM DB2 Universal Database for Linux, UNIX, and Windows (DB2 UDB) product has exploited autonomic computing to reduce this administration complexity and become more self-managing. We survey the major autonomic computing features in the DB2 UDB product and describe the benefits, with experimental data in some cases