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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
0.00036684414
Overall Rank
78 | 99.48%
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 155 citing papers.

Rank Citing Paper Year Venue Pagerank
5,018 Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems 2021 VLDB 6.3121723e-05
5,058 Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing 2022 VLDB 6.2926774e-05
5,077 DBPA: A Benchmark for Transactional Database Performance Anomalies 2023 SIGMOD 6.2858696e-05
5,194 Database Workload Characterization with Query Plan Encoders 2022 VLDB 6.2353557e-05
5,214 Stage: Query Execution Time Prediction in Amazon Redshift 2024 SIGMOD 6.2248104e-05
5,248 Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty 2022 VLDB 6.211056e-05
5,266 Forecasting Big Time Series: Old and New 2018 VLDB 6.2023166e-05
5,286 An Efficient Transfer Learning Based Configuration Adviser for Database Tuning 2024 VLDB 6.1971399e-05
5,716 Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data 2023 SIGMOD 6.0194657e-05
5,865 Modeling Shifting Workloads for Learned Database Systems 2024 SIGMOD 5.9659203e-05
5,871 PilotScope: Steering Databases with Machine Learning Drivers 2024 VLDB 5.9639223e-05
5,967 Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems 2019 VLDB 5.9324372e-05
5,974 Towards instance-optimized data systems 2021 VLDB 5.9305575e-05
6,080 From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems 2019 SIGMOD 5.8924903e-05
6,112 iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks 2019 SIGMOD 5.8826029e-05
6,124 Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads 2023 SIGMOD 5.8788211e-05
6,245 The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward 2021 VLDB 5.837329e-05
6,274 A Critical Analysis of Recursive Model Indexes 2022 VLDB 5.8271888e-05
6,450 Towards General and Efficient Online Tuning for Spark 2023 VLDB 5.7817872e-05
6,479 Contention-Aware Lock Scheduling for Transactional Databases 2018 VLDB 5.7725441e-05
6,622 Everything is a Transaction: Unifying Logical Concurrency Control and Physical Data Structure Maintenance in Database Management Systems 2021 CIDR 5.7307819e-05
6,726 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.6948731e-05
6,753 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.6904085e-05
6,827 When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations 2023 VLDB 5.6699055e-05
7,033 Rethinking Learned Cost Models: Why Start from Scratch? 2023 SIGMOD 5.6168499e-05
7,069 Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads 2024 VLDB 5.6083188e-05
7,070 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 5.6080535e-05
7,084 KEA: Tuning an Exabyte-Scale Data Infrastructure 2021 SIGMOD 5.6029455e-05
7,236 RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems 2025 VLDB 5.5790509e-05
7,373 LRU-C: Parallelizing Database I/Os for Flash SSDs 2023 VLDB 5.5402255e-05
7,502 On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection 2021 VLDB 5.5076707e-05
7,598 SageDB: An Instance-Optimized Data Analytics System 2022 VLDB 5.4871733e-05
7,626 BugDoc: Algorithms to Debug Computational Processes 2020 SIGMOD 5.4814815e-05
7,822 Bespoke OLAP: Synthesizing Workload-Specific One-size-fits-one Database Engines 2026 VLDB 5.4461624e-05
7,864 Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD 2024 VLDB 5.4367919e-05
7,905 CAMAL: Optimizing LSM-trees via Active Learning 2024 SIGMOD 5.4291824e-05
7,915 Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems 2022 SIGMOD 5.4276987e-05
7,925 Runtime Variation in Big Data Analytics 2023 SIGMOD 5.4256585e-05
7,977 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 5.4142519e-05
8,004 A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning 2024 VLDB 5.4089097e-05
8,087 Dendrite: Bolt-on Adaptivity for Data Systems 2021 SIGMOD 5.3942942e-05
8,090 Sentinel: Understanding Data Systems 2020 SIGMOD 5.3942942e-05
8,129 Two is Better Than One: The Case for 2-Tree for Skewed Data Sets 2023 CIDR 5.3938156e-05
8,200 Algorithmic Complexity Attacks on Dynamic Learned Indexes 2024 VLDB 5.3787447e-05
8,258 The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual” 2021 VLDB 5.3671363e-05
8,542 Serverless State Management Systems 2024 CIDR 5.3189983e-05
8,620 Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines 2024 SIGMOD 5.301557e-05
8,636 PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking 2025 VLDB 5.2981619e-05
8,648 FusionInsight LibrA: Huawei’s Enterprise Cloud Data Analytics Platform 2018 VLDB 5.295083e-05
8,753 A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach 2025 SIGMOD 5.2846898e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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