Goals and Benchmarks for Autonomic Configuration Recommenders
Summary: Flexible performance-goal characterization and benchmarking for autonomic configuration recommenders (indexes, materialized views, partitions) in DBMS. Exploratory workloads with real and synthetic data; single-column index baseline; results show unfulfilled potential for several orders of magnitude improvements over current tools. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,484 | Efficient Use of the Query Optimizer for Automated Physical Design | 2007 | VLDB | 8.6864279e-05 |
| 6,776 | Designing Information-Preserving Mapping Schemes for XML | 2005 | VLDB | 4.929714e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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