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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
5467
Venue
SIGMOD
Year
2017
Pagerank
0.00035316107
Overall Rank
86 | 99.42%
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 147 citing papers.

Rank Citing Paper Year Venue Pagerank
5,158 Forecasting Big Time Series: Old and New 2018 VLDB 6.3404905e-05
5,171 An Efficient Transfer Learning Based Configuration Adviser for Database Tuning 2024 VLDB 6.3347618e-05
5,226 Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems 2021 VLDB 6.3090383e-05
5,340 Machine Learning for Databases 2021 VLDB 6.2603359e-05
5,369 Intelligent Scaling in Amazon Redshift 2024 SIGMOD 6.2437078e-05
5,388 Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing 2022 VLDB 6.2362811e-05
5,766 Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty 2022 VLDB 6.094771e-05
5,856 Automatic Database Configuration Debugging using Retrieval-Augmented Language Models 2025 SIGMOD 6.0644656e-05
5,865 Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems 2019 VLDB 6.0619534e-05
5,974 Towards instance-optimized data systems 2021 VLDB 6.0230488e-05
5,978 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 6.0212877e-05
6,082 iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks 2019 SIGMOD 5.9841079e-05
6,121 The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward 2021 VLDB 5.9688569e-05
6,132 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 5.9660278e-05
6,163 A Critical Analysis of Recursive Model Indexes 2022 VLDB 5.9532723e-05
6,323 Modeling Shifting Workloads for Learned Database Systems 2024 SIGMOD 5.9141228e-05
6,344 Towards General and Efficient Online Tuning for Spark 2023 VLDB 5.9060457e-05
6,361 Contention-Aware Lock Scheduling for Transactional Databases 2018 VLDB 5.9009048e-05
6,462 PilotScope: Steering Databases with Machine Learning Drivers 2024 VLDB 5.8717744e-05
6,600 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.8250114e-05
6,782 Everything is a Transaction: Unifying Logical Concurrency Control and Physical Data Structure Maintenance in Database Management Systems 2021 CIDR 5.7762362e-05
6,843 Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads 2023 SIGMOD 5.7573899e-05
6,921 Rethinking Learned Cost Models: Why Start from Scratch? 2023 SIGMOD 5.7388557e-05
6,939 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.7338637e-05
6,946 KEA: Tuning an Exabyte-Scale Data Infrastructure 2021 SIGMOD 5.7309848e-05
6,997 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.7300324e-05
7,261 LRU-C: Parallelizing Database I/Os for Flash SSDs 2023 VLDB 5.6612613e-05
7,360 On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection 2021 VLDB 5.6340845e-05
7,755 Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD 2024 VLDB 5.5519655e-05
7,757 CAMAL: Optimizing LSM-trees via Active Learning 2024 SIGMOD 5.5508469e-05
7,762 Runtime Variation in Big Data Analytics 2023 SIGMOD 5.5501898e-05
7,785 Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems 2022 SIGMOD 5.5450355e-05
7,825 RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems 2025 VLDB 5.5367884e-05
7,846 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 5.5331459e-05
7,920 Dendrite: Bolt-on Adaptivity for Data Systems 2021 SIGMOD 5.5181056e-05
7,922 Sentinel: Understanding Data Systems 2020 SIGMOD 5.5181056e-05
7,996 When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations 2023 VLDB 5.5096162e-05
8,016 Two is Better Than One: The Case for 2-Tree for Skewed Data Sets 2023 CIDR 5.5070057e-05
8,039 Algorithmic Complexity Attacks on Dynamic Learned Indexes 2024 VLDB 5.5021992e-05
8,127 The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual” 2021 VLDB 5.4826853e-05
8,185 BugDoc: Algorithms to Debug Computational Processes 2020 SIGMOD 5.4707797e-05
8,323 SageDB: An Instance-Optimized Data Analytics System 2022 VLDB 5.4539294e-05
8,375 Serverless State Management Systems 2024 CIDR 5.4391978e-05
8,463 Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines 2024 SIGMOD 5.4205593e-05
8,490 FusionInsight LibrA: Huawei’s Enterprise Cloud Data Analytics Platform 2018 VLDB 5.4152314e-05
8,591 A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach 2025 SIGMOD 5.4059856e-05
8,615 A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning 2024 VLDB 5.4005602e-05
8,710 Avoiding Read Stalls on Flash Storage 2022 SIGMOD 5.378796e-05
8,723 Your Read is Our Priority in Flash Storage 2022 VLDB 5.3769695e-05
8,783 Tiresias: Enabling Predictive Autonomous Storage and Indexing 2022 VLDB 5.3740362e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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