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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ahmad, M. Duan, S. Aboulnaga, A. Babu, S. |
| Copyright Year | 2010 |
| Description | Author affiliation: Duke University, Durham, North Carolina, USA (Duan, S.; Babu, S.) || University of Waterloo, Ontario, Canada (Ahmad, M.; Aboulnaga, A.) |
| Abstract | While planning the execution of report-generation workloads, database administrators often need to know how long different query workloads will take to run. Database systems run mixes of multiple queries of different types concurrently. Hence, estimating the completion time of a query workload requires reasoning about query mixes and inter-query interactions in the mixes; rather than considering queries or query types in isolation. This paper presents a novel approach for estimating workload completion time based on experiment-driven modeling and simulation of the impact of inter-query interactions. A preliminary evaluation of this approach with TPC-H queries on IBM DB2 shows how our approach can consistently predict workload completion times with good accuracy. |
| Starting Page | 413 |
| Ending Page | 416 |
| File Size | 280209 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424454457 |
| e-ISBN | 9781424454464 |
| e-ISBN | 9781424454440 |
| DOI | 10.1109/ICDE.2010.5447834 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-03-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Bismuth Database systems Deductive databases Data warehouses Spatial databases Hardware |
| Content Type | Text |
| Resource Type | Article |
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