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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Benoit, D.G. |
| Copyright Year | 2005 |
| Description | Author affiliation: Jodrey Sch. of Comput. Sci., Acadia Univ., Wolfville, NS (Benoit, D.G.) |
| Abstract | Database performance is directly linked to database management system (DBMS) resource allocation. Complex relationships between resources make problem diagnosis and performance tuning difficult, time-consuming tasks. Database administrators (DBAs) currently tune and re-tune the DBMS as the database grows and workloads change. Increased performance and reduced cost of ownership can be achieved by automating the tuning process, starting with resource allocation problem diagnosis. In this paper we overview an automatic diagnosis framework designed to diagnose resource problems. Our diagnosis model and results demonstrate an ability to correctly identify system bottlenecks for a generic on-line transaction processing workload |
| Sponsorship | IEEE Comput. Soc. Nat. Sci. Found |
| Starting Page | 326 |
| Ending Page | 327 |
| File Size | 64327 |
| Page Count | 2 |
| File Format | |
| ISBN | 0796522769 |
| DOI | 10.1109/ICAC.2005.12 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-06-13 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Database systems Resource management Testing Costs Automation Computer science Transaction databases Humans Memory management Feedback control |
| Content Type | Text |
| Resource Type | Article |
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