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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)

Paper ID
3639
Venue
SIGMOD
Year
2005
Pagerank
4.5287897e-05
Overall Rank
8,391 | 41.63%
DOI
-

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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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