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An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning

Summary: CDBTune: end-to-end automatic cloud DB tuning with deep RL (DDPG) for high-dimensional continuous knobs. Sample-efficient, reward-driven online tuning adapts to hardware/workload shifts and beats state-of-the-art tuners and DBAs on real cloud workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5678
Venue
SIGMOD
Year
2019
Pagerank
0.00020875082
Overall Rank
334 | 97.72%
DOI
10.1145/3299869.3300085

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod19,
        title = {{An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning}},
        author = {Zhang, Ji and Liu, Yu and Zhou, Ke and Li, Guoliang and Xiao, Zhili and Cheng, Bin and Xing, Jiashu and Wang, Yangtao and Cheng, Tianheng and Liu, Li and Ran, Minwei and Li, Zekang},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3300085},
        url = {https://dl.acm.org/doi/10.1145/3299869.3300085},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 100 citing papers.

Rank Citing Paper Year Venue Pagerank
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
7,394 DBMind: A Self-Driving Platform in openGauss 2021 VLDB 5.6259065e-05
7,582 A Progress Report on DBOS: A Database-oriented Operating System 2022 CIDR 5.5918081e-05
7,686 TDSQL: Tencent Distributed Database System 2024 VLDB 5.5676271e-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
7,846 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
7,873 GaussDB: A Cloud-Native Multi-Primary Database with Compute-Memory-Storage Disaggregation 2024 VLDB 5.5257163e-05
7,920 Dendrite: Bolt-on Adaptivity for Data Systems 2021 SIGMOD 5.5181056e-05
7,996 When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations 2023 VLDB 5.5096162e-05
8,127 The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual” 2021 VLDB 5.4826853e-05
8,328 Deep Learning: Systems and Responsibility 2021 SIGMOD 5.4535681e-05
8,492 ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation 2023 VLDB 5.4145838e-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
8,669 Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual 2022 SIGMOD 5.3879261e-05
8,849 ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation 2024 SIGMOD 5.3577504e-05
9,047 SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation 2026 VLDB 5.3251649e-05
9,257 MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud 2024 VLDB 5.2972217e-05
9,441 Db2une: Tuning Under Pressure via Deep Learning 2024 VLDB 5.2678428e-05
9,587 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 5.2525104e-05
9,739 Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System 2022 VLDB 5.227679e-05
9,771 Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment 2025 SIGMOD 5.2209769e-05
9,775 Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems 2025 VLDB 5.2209769e-05
10,041 DBMS Fitting: Why should we learn what we already know? 2020 CIDR 5.1709251e-05
10,066 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 5.1643809e-05
10,105 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 5.1435736e-05
10,196 Are Learned DBMS Components Robust to Workload Drift?: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
10,277 On Self-Designing Learned Indexes 2026 SIGMOD 5.093636e-05
10,326 PGTuner: An Efficient Framework for Automatic and Transferable Configuration Tuning of Proximity Graphs 2026 SIGMOD 5.093636e-05
10,384 MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration 2026 SIGMOD 5.093636e-05
10,453 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 5.093636e-05
10,506 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 5.093636e-05
10,535 Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents 2026 VLDB 5.093636e-05
10,547 Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink 2026 VLDB 5.093636e-05
10,565 LakeHelm: Zero-Shot Lakehouse Advisor for Joint Engine-Format Selection and Configuration 2026 VLDB 5.093636e-05
10,626 Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction 2026 VLDB 5.093636e-05
10,660 Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions 2025 SIGMOD 5.093636e-05
10,700 TXSQL: Lock Optimizations Towards High Contented Workloads 2025 SIGMOD 5.093636e-05
10,791 High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration 2025 SIGMOD 5.093636e-05
10,886 AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines 2025 VLDB 5.093636e-05
11,073 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB 5.093636e-05
11,095 LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases 2025 VLDB 5.093636e-05
11,162 Predictive and Near-Optimal Sampling for View Materialization in Video Databases 2024 SIGMOD 5.093636e-05
11,391 Regularized Pairwise Relationship based Analytics for Structured Data 2023 SIGMOD 5.093636e-05
11,426 Auto-Tuning with Reinforcement Learning for Permissioned Blockchain Systems 2023 VLDB 5.093636e-05
11,478 Demonstrating Waffle: A Self-driving Grid Index 2023 VLDB 5.093636e-05
11,685 Toto - Benchmarking the Efficiency of a Cloud Service 2021 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 21 of 21 cited papers.

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

Rank Cited Paper Year Venue Pagerank
86 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00035316107
159 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00028129426
184 DB2 Design Advisor: Integrated Automatic Physical Database Design 2004 VLDB 0.00026256101
199 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00025612088
234 Self-Driving Database Management Systems 2017 CIDR 0.00023810722
246 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00023457421
259 Database Cracking 2007 CIDR 0.00023119313
347 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00020651582
387 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00019442332
501 Database Tuning Advisor for Microsoft SQL Server 2005 2004 VLDB 0.0001738508
523 Adaptive Self-Tuning Memory in DB2 2006 VLDB 0.00017133451
600 Rethinking Database System Architecture: Towards a Self-tuning RISC-style Database System 2000 VLDB 0.00015871387
625 Automatic Performance Diagnosis and Tuning in Oracle 2005 CIDR 0.0001566968
768 Automatic Physical Database Tuning: A Relaxation-based Approach 2005 SIGMOD 0.00014173242
781 Self-tuning Database Technology and Information Services: from Wishful Thinking to Viable Engineering 2002 VLDB 0.00014085674
798 DBSherlock: A Performance Diagnostic Tool for Transactional Databases 2016 SIGMOD 0.00013919795
1,616 The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models 2018 SIGMOD 0.00010213691
1,679 Self-organizing Tuple Reconstruction in Column-stores 2009 SIGMOD 0.00010029136
1,811 Merging What's Cracked, Cracking What's Merged: Adaptive Indexing in Main-Memory Column-Stores 2011 VLDB 9.698026e-05
2,378 The Uncracked Pieces in Database Cracking 2014 VLDB 8.6682285e-05
7,770 Automated design of multidimensional clustering tables for relational databases 2004 VLDB 5.5474421e-05
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