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Automatic Database Management System Tuning Through Large-scale Machine Learning

Summary: Automated DBMS tuning via large-scale ML (OtterTune) to select impactful knobs, map unseen workloads to known ones, and recommend settings. Evaluated on three DBMSs; achieves configurations as good as or better than existing tools or human experts. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h2102c219f1cf4d9c
Venue
SIGMOD
Year
2017
Pagerank
0.00037164008
Overall Rank
74 | 99.51%
DOI
10.1145/3035918.3064029

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{aken_sigmod17,
        title = {{Automatic Database Management System Tuning Through Large-scale Machine Learning}},
        author = {Van Aken, Dana and Pavlo, Andrew and Gordon, Geoffrey J. and Zhang, Bohan},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3064029},
        url = {https://dl.acm.org/doi/10.1145/3035918.3064029},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 157 citing papers.

Rank Citing Paper Year Venue Pagerank
4,833 Stage: Query Execution Time Prediction in Amazon Redshift 2024 SIGMOD 6.3834856e-05
5,043 Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing 2022 VLDB 6.28918e-05
5,046 Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems 2021 VLDB 6.2884087e-05
5,098 DBPA: A Benchmark for Transactional Database Performance Anomalies 2023 SIGMOD 6.2631174e-05
5,211 Database Workload Characterization with Query Plan Encoders 2022 VLDB 6.2141929e-05
5,272 Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty 2022 VLDB 6.1887235e-05
5,290 Forecasting Big Time Series: Old and New 2018 VLDB 6.1788815e-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
5,728 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 5.9979958e-05
5,854 Modeling Shifting Workloads for Learned Database Systems 2024 SIGMOD 5.9520525e-05
5,979 Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems 2019 VLDB 5.910201e-05
5,982 Towards instance-optimized data systems 2021 VLDB 5.9096991e-05
6,095 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 5.8706416e-05
6,126 iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks 2019 SIGMOD 5.8614712e-05
6,137 Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads 2023 SIGMOD 5.8576977e-05
6,158 Rethinking Learned Cost Models: Why Start from Scratch? 2023 SIGMOD 5.8518237e-05
6,260 The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward 2021 VLDB 5.815273e-05
6,279 A Critical Analysis of Recursive Model Indexes 2022 VLDB 5.8090653e-05
6,464 Towards General and Efficient Online Tuning for Spark 2023 VLDB 5.759941e-05
6,481 Contention-Aware Lock Scheduling for Transactional Databases 2018 VLDB 5.7529529e-05
6,626 Everything is a Transaction: Unifying Logical Concurrency Control and Physical Data Structure Maintenance in Database Management Systems 2021 CIDR 5.7130318e-05
6,752 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.6733557e-05
6,768 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.6693759e-05
6,850 When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations 2023 VLDB 5.648482e-05
7,091 Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads 2024 VLDB 5.5871281e-05
7,092 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.5868637e-05
7,108 KEA: Tuning an Exabyte-Scale Data Infrastructure 2021 SIGMOD 5.5817869e-05
7,257 RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems 2025 VLDB 5.5579707e-05
7,363 Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD 2024 VLDB 5.5279826e-05
7,393 LRU-C: Parallelizing Database I/Os for Flash SSDs 2023 VLDB 5.5202899e-05
7,525 On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection 2021 VLDB 5.4868603e-05
7,621 SageDB: An Instance-Optimized Data Analytics System 2022 VLDB 5.4664683e-05
7,633 BugDoc: Algorithms to Debug Computational Processes 2020 SIGMOD 5.4635757e-05
7,715 Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems 2022 SIGMOD 5.4556951e-05
7,844 Bespoke OLAP: Synthesizing Workload-Specific One-size-fits-one Database Engines 2026 VLDB 5.4255843e-05
7,925 CAMAL: Optimizing LSM-trees via Active Learning 2024 SIGMOD 5.4086685e-05
7,944 Runtime Variation in Big Data Analytics 2023 SIGMOD 5.4051579e-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
8,026 A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning 2024 VLDB 5.3884724e-05
8,091 Two is Better Than One: The Case for 2-Tree for Skewed Data Sets 2023 CIDR 5.3744333e-05
8,112 Dendrite: Bolt-on Adaptivity for Data Systems 2021 SIGMOD 5.3739121e-05
8,115 Sentinel: Understanding Data Systems 2020 SIGMOD 5.3739121e-05
8,223 Algorithmic Complexity Attacks on Dynamic Learned Indexes 2024 VLDB 5.3584214e-05
8,274 The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual” 2021 VLDB 5.3477381e-05
8,571 Serverless State Management Systems 2024 CIDR 5.2989007e-05
8,638 Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines 2024 SIGMOD 5.2825944e-05
8,662 PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking 2025 VLDB 5.2781431e-05
8,672 FusionInsight LibrA: Huawei’s Enterprise Cloud Data Analytics Platform 2018 VLDB 5.2753524e-05
8,782 A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach 2025 SIGMOD 5.2647219e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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