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Adaptive Execution of Variable-Accuracy Functions

Summary: VAOs expose compute-accuracy tradeoffs for modeling UDFs, letting queries stop at the needed precision. Prototype on financial queries over real bond data shows adaptive, cost-aware evaluation in common operators. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9660
Venue
VLDB
Year
2006
Pagerank
5.4788421e-05
Overall Rank
8,147 | 44.11%
DOI
10.5555/1182635.1182690

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{denny_vldb06,
        title = {{Adaptive Execution of Variable-Accuracy Functions}},
        author = {Denny, Matthew and Franklin, Michael J.},
        journal = {PVLDB},
        series = {{VLDB} '06},
        pages = {547--558},
        doi = {10.5555/1182635.1182690},
        url = {https://doi.org/10.5555/1182635.1182690},
        year = {2006}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
8,646 Supporting User-Defined Functions on Uncertain Data 2013 VLDB 5.3928856e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 16 of 16 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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