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Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation

Summary: Comprehensive evaluation of DB configuration tuning methods across modules, showing hyper-parameter optimization can boost tuning performance. Proposes an efficient surrogate-based unified benchmark to minimize evaluation cost and identify best algorithms per module. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h5e0e7bcafe6e6277
Venue
VLDB
Year
2022
Pagerank
8.0085666e-05
Overall Rank
2,779 | 81.38%
DOI
10.14778/3538598.3538604
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhang_vldb22,
        title = {{Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation}},
        author = {Zhang, Xinyi and Chang, Zhuo and Li, Yang and Wu, Hong and Tan, Jian and Li, Feifei and Cui, Bin},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {9},
        pages = {1808--1821},
        doi = {10.14778/3538598.3538604},
        url = {https://doi.org/10.14778/3538598.3538604},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 34 of 34 citing papers.

Rank Citing Paper Year Venue Pagerank
2,227 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB 8.7924681e-05
3,057 LlamaTune: Sample-Efficient DBMS Configuration Tuning 2022 VLDB 7.6865211e-05
3,839 Automatic Database Configuration Debugging using Retrieval-Augmented Language Models 2025 SIGMOD 6.9704205e-05
4,683 AutoSteer: Learned Query Optimization for Any SQL Database 2023 VLDB 6.4545989e-05
5,098 DBPA: A Benchmark for Transactional Database Performance Anomalies 2023 SIGMOD 6.2631174e-05
5,304 An Efficient Transfer Learning Based Configuration Adviser for Database Tuning 2024 VLDB 6.1758143e-05
5,713 PilotScope: Steering Databases with Machine Learning Drivers 2024 VLDB 6.0090633e-05
6,464 Towards General and Efficient Online Tuning for Spark 2023 VLDB 5.759941e-05
6,752 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.6733557e-05
7,092 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.5868637e-05
7,561 Learned Offline Query Planning via Bayesian Optimization 2025 SIGMOD 5.4784915e-05
7,997 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 5.3938336e-05
8,298 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 5.3437127e-05
9,052 Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment 2025 SIGMOD 5.215088e-05
9,759 Shapley Value Estimation Based on Differential Matrix 2025 SIGMOD 5.115551e-05
9,946 AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning 2026 SIGMOD 5.0910746e-05
10,123 ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems 2023 VLDB 5.0638787e-05
10,323 This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch! 2026 SIGMOD 5.0241309e-05
10,324 Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents 2026 VLDB 5.0241309e-05
10,366 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 5.0091669e-05
10,492 ASSS: Adaptive Stratified Sampling for Shapley-like Values 2026 SIGMOD 4.9605343e-05
10,543 HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search 2026 SIGMOD 4.9605343e-05
10,653 MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration 2026 SIGMOD 4.9605343e-05
10,713 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 4.9605343e-05
10,800 Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink 2026 VLDB 4.9605343e-05
10,812 OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning 2026 VLDB 4.9605343e-05
10,818 LakeHelm: Zero-Shot Lakehouse Advisor for Joint Engine-Format Selection and Configuration 2026 VLDB 4.9605343e-05
10,957 MFTune: An Efficient Multi-fidelity Framework for Spark SQL Configuration Tuning 2026 VLDB 4.9605343e-05
11,116 DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning 2026 VLDB 4.9605343e-05
11,142 Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction 2026 VLDB 4.9605343e-05
11,173 Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions 2025 SIGMOD 4.9605343e-05
11,299 A Systematic Study on Early Stopping Metrics in HPO and the Implications of Uncertainty 2025 VLDB 4.9605343e-05
11,350 AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines 2025 VLDB 4.9605343e-05
11,489 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 21 of 21 cited papers.

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

Rank Cited Paper Year Venue Pagerank
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061463175
74 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00037164008
236 OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases 2014 VLDB 0.00023639649
309 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.0002143249
313 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00021288111
411 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.0001874043
458 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017870238
493 Database Tuning Advisor for Microsoft SQL Server 2005 2004 VLDB 0.0001735831
496 Adaptive Self-Tuning Memory in DB2 2006 VLDB 0.00017347275
775 Self-tuning Database Technology and Information Services: from Wishful Thinking to Viable Engineering 2002 VLDB 0.00014062388
1,294 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00011129451
1,700 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 9.8224761e-05
2,572 ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases 2021 SIGMOD 8.2581875e-05
2,929 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 7.830745e-05
3,172 CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions 2021 VLDB 7.5556865e-05
3,340 VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition 2021 VLDB 7.3886578e-05
3,356 Database Tuning: principles, experiments, and troubleshooting techniques 2002 SIGMOD 7.3653809e-05
3,575 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 7.1769215e-05
4,101 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD 6.7930727e-05
6,265 Foundations of Automated Database Tuning 2006 VLDB 5.8135505e-05
7,809 Database Tuning 1992 VLDB 5.432514e-05
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Semantically Similar Papers

# Overall Rank Paper Year Venue
1 1,294 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB
2 3,057 LlamaTune: Sample-Efficient DBMS Configuration Tuning 2022 VLDB
3 2,227 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB
4 10,323 This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch! 2026 SIGMOD
5 74 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD
6 4,101 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD
7 6,265 Foundations of Automated Database Tuning 2006 VLDB
8 5,304 An Efficient Transfer Learning Based Configuration Adviser for Database Tuning 2024 VLDB
9 313 Tuning Database Configuration Parameters with iTuned 2009 VLDB
10 3,050 Configuration-Parametric Query Optimization for Physical Design Tuning 2008 SIGMOD