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ICDE
2005
IEEE

Resource Selection for Autonomic Database Tuning

8 years 11 months ago
Resource Selection for Autonomic Database Tuning
Database administrators should be aware of resource usages to maintain database system performance. As database applications become more complex and diverse, managing database systems becomes too costly and prone to error. Autonomic database tuning becomes more important than ever. This paper starts with an analysis on how resource usages respond by changing resource sizes in database systems. Then, we present a simple method that automatically selects resources that affect the system performance. An experiment using the TPC-C and TPC-W workloads has been carried out with a commercial database system. A preliminary analysis shows that our method works.
Jeong Seok Oh, Sang Ho Lee
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICDE
Authors Jeong Seok Oh, Sang Ho Lee
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