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CASCON
2008

Autonomic tuning expert: a framework for best-practice oriented autonomic database tuning

13 years 4 months ago
Autonomic tuning expert: a framework for best-practice oriented autonomic database tuning
Databases are growing rapidly in scale and complexity. High performance, availability, and further service level agreements need to be satisfied under any circumstances to please customers. In order to tune the DBMS within their complex environments, highly skilled database administrators (DBAs) are required. Unfortunately, they are becoming rarer and more and more expensive. Improving performance analysis and moving towards the automation of large information management platforms requires a more intuitive and flexible source of decision making. This paper points out the importance of bestpractices knowledge for autonomic database tuning and addresses the idea of formalizing and storing DBA expert tuning knowledge for the autonomic management process. We will focus our attention on the development of a reference system for best-practice oriented autonomic database tuning for IBM DB2 and subsequently evaluate our system's tuning performance under changing workload. 1 Motivation Tu...
David Wiese, Gennadi Rabinovitch, Michael Reichert
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where CASCON
Authors David Wiese, Gennadi Rabinovitch, Michael Reichert, Stephan Arenswald
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