Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads
Summary: Analytic framework for predicting query time under dynamic concurrency; uses optimizer cost model to estimate pipeline I/O and CPU. Merges I/O/CPU requests with queueing and buffer-pool models to predict total running time; ML baselines competitive. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Wentao Wu (University of Wisconsin)
- 2. Yun Chi (NEC Corporation)
- 3. Hakan Hacıgümüş (NEC Corporation)
- 4. Jeffrey F. Naughton (University of Wisconsin)
BibTeX Citation
@article{wu_vldb13,
title = {{Towards Predicting Query Execution Time for Concurrent and Dynamic Database Workloads}},
author = {Wu, Wentao and Chi, Yun and Hacıgümüş, Hakan and Naughton, Jeffrey F.},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {10},
pages = {925--936},
doi = {10.14778/2536206.2536219},
url = {https://doi.org/10.14778/2536206.2536219},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 624 | Performance Prediction for Concurrent Database Workloads | 2011 | SIGMOD | 0.00015683402 |
| 682 | Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques | 2012 | VLDB | 0.00015014887 |
| 1,143 | Toward a Progress Indicator for Database Queries | 2004 | SIGMOD | 0.00011999403 |
| 1,562 | Estimating Progress of Execution for SQL Queries | 2004 | SIGMOD | 0.00010354429 |
| 4,197 | Buffer Pool Aware Query Optimization | 2005 | CIDR | 6.8406917e-05 |
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