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An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems

Summary: ML-based automatic DBMS knob tuning evaluated with OtterTune on Oracle using real workload traces; compares three ML tuning algorithms. Achieves ~45% gains over enterprise configs; reveals deployment and measurement issues absent in synthetic studies. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12314
Venue
VLDB
Year
2021
Pagerank
0.00010390548
Overall Rank
1,827 | 87.30%
DOI
10.14778/3450980.3450992

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 36 of 36 citing papers.

Rank Citing Paper Year Venue Pagerank
1,407 DB-BERT: A Database Tuning Tool that "Reads the Manual" 2022 SIGMOD 0.00012146739
3,114 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB 7.5451724e-05
3,812 Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation 2022 VLDB 6.7373184e-05
4,240 Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation 2021 VLDB 6.3318228e-05
4,380 LlamaTune: Sample-Efficient DBMS Configuration Tuning 2022 VLDB 6.2396606e-05
4,399 HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements 2022 SIGMOD 6.2225151e-05
4,842 Towards Dynamic and Safe Configuration Tuning for Cloud Databases 2022 SIGMOD 5.8826802e-05
4,913 UDO: Universal Database Optimization using Reinforcement Learning 2021 VLDB 5.8316231e-05
5,334 LEON: A New Framework for ML-Aided Query Optimization 2023 VLDB 5.5649836e-05
5,371 LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning 2022 SIGMOD 5.5428776e-05
5,861 Machine Learning for Databases 2021 VLDB 5.298883e-05
6,151 An Efficient Transfer Learning Based Configuration Adviser for Database Tuning 2024 VLDB 5.183652e-05
6,297 Towards instance-optimized data systems 2021 VLDB 5.1227886e-05
6,379 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.0909479e-05
7,620 Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads 2023 SIGMOD 4.693568e-05
7,631 A Progress Report on DBOS: A Database-oriented Operating System 2022 CIDR 4.6917915e-05
8,009 CAMAL: Optimizing LSM-trees via Active Learning 2024 SIGMOD 4.6066863e-05
8,020 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 4.6040862e-05
8,026 ADOPT: Adaptively Optimizing Attribute Orders for Worst-Case Optimal Join Algorithms via Reinforcement Learning 2023 VLDB 4.6030518e-05
8,183 Two is Better Than One: The Case for 2-Tree for Skewed Data Sets 2023 CIDR 4.5658208e-05
8,186 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 4.5651684e-05
8,458 Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual 2022 SIGMOD 4.5066722e-05
8,578 Robust and Budget-Constrained Encoding Configurations for In-Memory Database Systems 2022 VLDB 4.4923477e-05
9,190 MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud 2024 VLDB 4.3768215e-05
9,352 Db2une: Tuning Under Pressure via Deep Learning 2024 VLDB 4.3522361e-05
9,467 Database Gyms 2023 CIDR 4.3346412e-05
9,605 Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System 2022 VLDB 4.3177432e-05
10,047 AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning 2026 SIGMOD 4.1945683e-05
10,093 MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration 2026 SIGMOD 4.1945683e-05
10,164 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 4.1945683e-05
10,247 Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents 2026 VLDB 4.1945683e-05
10,301 DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning 2026 VLDB 4.1945683e-05
10,328 Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction 2026 VLDB 4.1945683e-05
10,852 CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics 2025 VLDB 4.1945683e-05
11,225 Auto-Tuning with Reinforcement Learning for Permissioned Blockchain Systems 2023 VLDB 4.1945683e-05
11,279 Demonstrating Waffle: A Self-driving Grid Index 2023 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

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

Rank Cited Paper Year Venue Pagerank
158 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00040071492
183 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036721403
209 Schism: a Workload-Driven Approach to Database Replication and Partitioning 2010 VLDB 0.00034468292
286 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00028990057
340 OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases 2014 VLDB 0.00026841628
424 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00023616398
514 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.0002124895
516 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00021196031
592 A Heuristic Approach to Attribute Partitioning 1979 SIGMOD 0.00019547845
679 Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems 2012 SIGMOD 0.00018215154
765 Automatic Performance Diagnosis and Tuning in Oracle 2005 CIDR 0.00017016449
782 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00016729063
874 Index Selection in a Self-Adaptive Data Base Management System 1976 SIGMOD 0.00015728533
953 Runtime Measurements in the Cloud: Observing, Analyzing, and Reducing Variance 2010 VLDB 0.00015095431
1,731 Fast Updates on Read-Optimized Databases Using Multi-Core CPUs 2012 VLDB 0.0001073454
1,810 SQL Memory Management in Oracle9i 2002 VLDB 0.0001047003
1,902 Black or White? How to Develop an AutoTuner for Memory-based Analytics 2020 SIGMOD 0.00010157713
3,098 Oracle Database Replay 2008 SIGMOD 7.5646066e-05
3,269 iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases 2019 VLDB 7.2998062e-05
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10,217 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 4.1945683e-05
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