Uncertainty Aware Query Execution Time Prediction
Summary: Uncertainty-aware query time prediction using the optimizer cost model; treats operator selectivities and CPU/I/O constants as random variables, not fixed constants. Infers a distribution of prediction errors with low overhead and shows strong correlation between estimated and actual errors. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wentao Wu (University of Wisconsin)
- 2. Xi Wu (University of Wisconsin)
- 3. Hakan Hacıgümüş (NEC Corporation)
- 4. Jeffrey F. Naughton (University of Wisconsin)
BibTeX Citation
@article{wu_vldb14,
title = {{Uncertainty Aware Query Execution Time Prediction}},
author = {Wu, Wentao and Wu, Xi and Hacıgümüş, Hakan and Naughton, Jeffrey F.},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {14},
pages = {1857--1868},
doi = {10.14778/2733085.2733088},
url = {https://doi.org/10.14778/2733085.2733088},
year = {2014}
}
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