DocumentCode :
2758393
Title :
Policy-Based Coordination of Best-Practice Oriented Autonomic Database Tuning
Author :
Rabinovitch, Gennadi
Author_Institution :
Databases & Inf. Syst. Group, Friedrich-Schiller-Univ. Jena, Jena, Germany
fYear :
2009
fDate :
15-20 Nov. 2009
Firstpage :
55
Lastpage :
60
Abstract :
In the last decades databases have been growing rapidly in scale and complexity. High performance, availability and further service level agreements need to be satisfied under any circumstances to please customers. Achieved database management system´s (DBMS) performance highly depends on individual skills of expensive database administrators (DBAs) who need to have deep knowledge about the DBMS itself, the application stack on top of the DBMS, and the application domain in general. Our goal, therefore, is to develop a framework enabling administrators to formalize and exchange their tuning knowledge in a community and let the system act autonomously according to this knowledge. This contribution proposes a Tuning Policy Language and gives an insight into the underlying policy model. This model is a basis for a tuning coordination component that is responsible for an advanced tuning control and provides an interface for the administrator.
Keywords :
database management systems; expert systems; fault tolerant computing; knowledge management; Autonomic Tuning Expert; Tuning Policy Language; best-practice oriented autonomic database tuning; database administrators; database management system; policy-based coordination; service level agreements; Availability; Correlators; Database systems; Engines; Knowledge management; Management information systems; Memory management; Monitoring; Resource management; Runtime environment; Autonomic computing; database tuning; tuning best-practices; tuning metadata; tuning policies;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:
Conference_Location :
Athens
Print_ISBN :
978-1-4244-5166-1
Electronic_ISBN :
978-0-7695-3862-4
Type :
conf
DOI :
10.1109/ComputationWorld.2009.27
Filename :
5359555
Link To Document :
بازگشت