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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)

Paper ID
h1b69d6e1b7f05978
Venue
VLDB
Year
2013
Pagerank
7.2361015e-05
Overall Rank
3,519 | 76.35%
DOI
10.14778/2536206.2536219

Incoming Non-self Citations Over Time

Authors

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 22 of 22 citing papers.

Rank Citing Paper Year Venue Pagerank
560 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00016408613
1,258 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00011308863
2,837 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 7.9495917e-05
3,032 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 7.7317595e-05
3,680 openGauss: An Autonomous Database System 2021 VLDB 7.1016555e-05
3,964 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.889374e-05
5,658 Uncertainty Aware Query Execution Time Prediction 2014 VLDB 6.0460211e-05
6,243 Operator and Query Progress Estimation in Microsoft SQL Server Live Query Statistics 2016 SIGMOD 5.8357659e-05
6,758 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.6877154e-05
6,876 Distribution-Based Query Scheduling 2013 VLDB 5.6565323e-05
7,464 T3: Accurate and Fast Performance Prediction for Relational Database Systems With Compiled Decision Trees 2025 SIGMOD 5.5189616e-05
7,958 Robust Query Processing: Mission Possible 2020 VLDB 5.4164639e-05
7,971 Resource Bricolage for Parallel Database Systems 2015 VLDB 5.4133337e-05
9,405 Intelligent Automated Workload Analysis for Database Replatforming 2022 SIGMOD 5.182976e-05
9,790 Memory Efficient Scheduling of Query Pipeline Execution 2022 CIDR 5.1261639e-05
9,796 Wii: Dynamic Budget Reallocation In Index Tuning 2024 SIGMOD 5.1236285e-05
9,950 Wred: Workload Reduction for Scalable Index Tuning 2024 SIGMOD 5.102891e-05
10,152 Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries 2025 VLDB 5.0691578e-05
10,615 Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] 2026 SIGMOD 4.9769913e-05
10,921 Tuning the Lookahead Distance for PostgreSQL Asynchronous IO 2026 VLDB 4.9769913e-05
11,232 Esc: An Early-Stopping Checker for Budget-aware Index Tuning 2025 VLDB 4.9769913e-05
11,246 PlanRGCN: Predicting SPARQL Query Performance 2025 VLDB 4.9769913e-05
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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
629 Performance Prediction for Concurrent Database Workloads 2011 SIGMOD 0.00015428007
682 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.00014814858
1,158 Toward a Progress Indicator for Database Queries 2004 SIGMOD 0.00011767292
1,588 Estimating Progress of Execution for SQL Queries 2004 SIGMOD 0.00010137374
4,267 Buffer Pool Aware Query Optimization 2005 CIDR 6.6936093e-05
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