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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Garcia-Alvarado, C. Raghavan, V. Narayanan, S. Waas, F.M. |
| Copyright Year | 2012 |
| Abstract | Physical design for shared-nothing databases includes decisions regarding the placement of data across a cluster of database servers. In particular, for each table in the database a distribution policy must be specified. In general, the choice of distribution policy affects the performance of query workloads significantly as individual queries may have to redistribute data on-the-fly as part of the execution. As is the case with a number of other physical design decisions, the problem is hard and poses substantial difficulties for database administrators. In this paper, we present FINDER, a design tool that optimizes data placement decisions for a database schema with respect to any given query workload. We designed FINDER with portability in mind: The tool is fully external to the target database system, i.e., does not require any code-level integration with the system, and avoids reverse engineering of query optimization techniques. Our experiments show FINDER converges quickly and delivers superior results compared to state-of-the-art solutions. |
| Starting Page | 322 |
| Ending Page | 327 |
| File Size | 300164 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781467316408 |
| e-ISBN | 9780769547480 |
| DOI | 10.1109/ICDEW.2012.45 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-04-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Aggregates Database systems Servers Data mining Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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