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Guided automated learning for query workload re-optimization

Summary: GALO automates fixing costly query plans with offline learning of recurring patterns, yielding RDF/SPARQL knowledge base of remedies. Third-tier re-optimizer after cost-based optimization, enabling cross-workload generalization and performance insight on TPC-DS/IBM datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11922
Venue
VLDB
Year
2019
Pagerank
4.8230386e-05
Overall Rank
7,127 | 50.42%
DOI
10.14778/3352063.3352120

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