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Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation

Summary: NoisePage demonstrates a self-driving DBMS that auto-tunes itself with ML. Three ML-based components—workload forecasting, behavior modeling, and action planning—drive holistic autonomous operation and faster convergence to stable configurations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h7899b6de705b0d4b
Venue
VLDB
Year
2021
Pagerank
7.1841858e-05
Overall Rank
3,588 | 75.89%
DOI
10.14778/3476311.3476411
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{pavlo_vldb21,
        title = {{Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation}},
        author = {Pavlo, Andrew and Butrovich, Matthew and Ma, Lin and Menon, Prashanth and Lim, Wan Shen and Van Aken, Dana and Zhang, William},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {12},
        pages = {3211--3221},
        doi = {10.14778/3476311.3476411},
        url = {https://doi.org/10.14778/3476311.3476411},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 19 of 19 citing papers.

Rank Citing Paper Year Venue Pagerank
2,227 GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization 2024 VLDB 8.8007923e-05
2,770 Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation 2022 VLDB 8.0343719e-05
3,052 LlamaTune: Sample-Efficient DBMS Configuration Tuning 2022 VLDB 7.704739e-05
3,171 Panda: Performance Debugging for Databases using LLM Agents 2024 CIDR 7.5661555e-05
5,700 PilotScope: Steering Databases with Machine Learning Drivers 2024 VLDB 6.028998e-05
6,600 Proteus: Autonomous Adaptive Storage for Mixed Workloads 2022 SIGMOD 5.737874e-05
7,604 SageDB: An Instance-Optimized Data Analytics System 2022 VLDB 5.4846038e-05
7,869 Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD 2024 VLDB 5.4342182e-05
7,909 CAMAL: Optimizing LSM-trees via Active Learning 2024 SIGMOD 5.4266123e-05
7,981 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 5.4117272e-05
8,210 Grep: A Graph Learning Based Database Partitioning System 2023 SIGMOD 5.3761621e-05
8,357 Towards Building Autonomous Data Services on Azure 2023 SIGMOD 5.3463255e-05
9,124 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 5.2247088e-05
9,134 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.2223611e-05
9,711 Database Gyms 2023 CIDR 5.1352441e-05
9,838 Automating the Enterprise with Foundation Models 2024 VLDB 5.1221535e-05
9,911 AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning 2026 SIGMOD 5.1079647e-05
10,296 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 5.0407989e-05
11,148 Automated Database Tuning vs. Human-Based Tuning in a Simulated Stressful Work Environment: A Demonstration of the Database Gym 2025 SIGMOD 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 38 of 38 cited papers.

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

Rank Cited Paper Year Venue Pagerank
78 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036675568
88 Automated Selection of Materialized Views and Indexes for SQL Databases 2000 VLDB 0.00035340164
98 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034099838
151 An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server 1997 VLDB 0.00028664776
187 DB2 Design Advisor: Integrated Automatic Physical Database Design 2004 VLDB 0.00025914764
195 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00025619089
224 Self-Driving Database Management Systems 2017 CIDR 0.00024011047
243 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00023349603
252 Database Cracking 2007 CIDR 0.00023101361
314 An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning 2019 SIGMOD 0.00021276452
322 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00021034201
361 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00020000855
437 QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning 2019 VLDB 0.00018310278
461 Query-based Workload Forecasting for Self-Driving Database Management Systems 2018 SIGMOD 0.00017841988
473 Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems 2012 SIGMOD 0.00017684278
508 Adaptive Self-Tuning Memory in DB2 2006 VLDB 0.00017083245
560 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00016408613
598 Automatic Performance Diagnosis and Tuning in Oracle 2005 CIDR 0.0001575517
604 Rethinking Database System Architecture: Towards a Self-tuning RISC-style Database System 2000 VLDB 0.00015664234
781 Self-tuning Database Technology and Information Services: from Wishful Thinking to Viable Engineering 2002 VLDB 0.00014019939
868 Index Selection in a Self-Adaptive Data Base Management System 1976 SIGMOD 0.00013366108
1,068 Automated Demand-driven Resource Scaling in Relational Database-as-a-Service 2016 SIGMOD 0.00012186505
1,200 Bridging the Archipelago between Row-Stores and Column-Stores for Hybrid Workloads 2016 SIGMOD 0.00011559584
1,244 Compressing SQL Workloads 2002 SIGMOD 0.00011369155
1,289 An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems 2021 VLDB 0.00011159167
1,380 H2O: A Hands-free Adaptive Store 2014 SIGMOD 0.00010858313
1,516 Automatically Indexing Millions of Databases in Microsoft Azure SQL Database 2019 SIGMOD 0.00010398346
1,660 SQL Memory Management in Oracle9i 2002 VLDB 9.9581502e-05
1,842 On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems 2012 VLDB 9.5247433e-05
1,884 Automated Partitioning Design in Parallel Database Systems 2011 SIGMOD 9.4349703e-05
1,940 Performance and Resource Modeling in Highly-Concurrent OLTP Workloads 2013 SIGMOD 9.3298436e-05
2,278 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.7057608e-05
2,837 Query Performance Prediction for Concurrent Queries using Graph Embedding 2020 VLDB 7.9495917e-05
3,159 CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions 2021 VLDB 7.5797912e-05
3,272 Estimating Cardinalities with Deep Sketches 2019 SIGMOD 7.4711788e-05
3,430 A Demonstration of the OtterTune Automatic Database Management System Tuning Service 2018 VLDB 7.3022151e-05
3,964 MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems 2021 SIGMOD 6.889374e-05
8,238 Demonstrating UDO: A Unified Approach for Optimizing Transaction Code, Physical Design, and System Parameters via Reinforcement Learning 2021 SIGMOD 5.3696738e-05
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