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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
hd3819f73a574cf5d
Venue
SIGMOD
Year
2019
Pagerank
0.0002143249
Overall Rank
309 | 97.94%
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 106 citing papers.

Rank Citing Paper Year Venue Pagerank
6,752 A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning 2023 SIGMOD 5.6733557e-05
6,850 When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations 2023 VLDB 5.648482e-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
7,517 DBMind: A Self-Driving Platform in openGauss 2021 VLDB 5.4895762e-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
7,746 A Progress Report on DBOS: A Database-oriented Operating System 2022 CIDR 5.4456907e-05
7,850 TDSQL: Tencent Distributed Database System 2024 VLDB 5.4233206e-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
8,112 Dendrite: Bolt-on Adaptivity for Data Systems 2021 SIGMOD 5.3739121e-05
8,274 The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual” 2021 VLDB 5.3477381e-05
8,502 Deep Learning: Systems and Responsibility 2021 SIGMOD 5.3130138e-05
8,685 ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation 2023 VLDB 5.2730954e-05
8,782 A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach 2025 SIGMOD 5.2647219e-05
8,866 Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual 2022 SIGMOD 5.2471343e-05
8,900 Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems 2025 VLDB 5.2400828e-05
8,975 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 5.2343759e-05
9,031 ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation 2024 SIGMOD 5.219814e-05
9,052 Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment 2025 SIGMOD 5.215088e-05
9,143 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 5.2074327e-05
9,256 SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation 2026 VLDB 5.1860131e-05
9,469 MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud 2024 VLDB 5.1588001e-05
9,655 Db2une: Tuning Under Pressure via Deep Learning 2024 VLDB 5.1307018e-05
9,961 Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System 2022 VLDB 5.0910746e-05
10,258 DBMS Fitting: Why should we learn what we already know? 2020 CIDR 5.0391159e-05
10,323 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 5.0241309e-05
10,324 Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents 2026 VLDB 5.0241309e-05
10,354 PGTuner: An Efficient Framework for Automatic and Transferable Configuration Tuning of Proximity Graphs 2026 SIGMOD 5.0156513e-05
10,366 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 5.0091669e-05
10,377 AGRL: An Agentic GraphRAG Framework with Reinforcement Learning for Database Configuration Debugging 2027 SIGMOD 4.9605343e-05
10,490 Are Learned DBMS Components Robust to Workload Drift?: [Experiments & Analysis] 2026 SIGMOD 4.9605343e-05
10,566 On Self-Designing Learned Indexes 2026 SIGMOD 4.9605343e-05
10,653 MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration 2026 SIGMOD 4.9605343e-05
10,713 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 4.9605343e-05
10,800 Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink 2026 VLDB 4.9605343e-05
10,818 LakeHelm: Zero-Shot Lakehouse Advisor for Joint Engine-Format Selection and Configuration 2026 VLDB 4.9605343e-05
10,926 How Much Can RocksDB Chew? Achieving Near-Zero Write Stalls with Sustainable RocksDB 2026 VLDB 4.9605343e-05
10,957 MFTune: An Efficient Multi-fidelity Framework for Spark SQL Configuration Tuning 2026 VLDB 4.9605343e-05
10,978 DBAgent: An RL-Based Agent for Autonomous Database Operations and Maintenance 2026 VLDB 4.9605343e-05
10,982 Tuning the Lookahead Distance for PostgreSQL Asynchronous IO 2026 VLDB 4.9605343e-05
10,988 Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server 2026 VLDB 4.9605343e-05
11,142 Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction 2026 VLDB 4.9605343e-05
11,173 Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions 2025 SIGMOD 4.9605343e-05
11,202 TXSQL: Lock Optimizations Towards High Contented Workloads 2025 SIGMOD 4.9605343e-05
11,273 High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration 2025 SIGMOD 4.9605343e-05
11,350 AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines 2025 VLDB 4.9605343e-05
11,489 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB 4.9605343e-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
74 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00037164008
160 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00027775994
189 DB2 Design Advisor: Integrated Automatic Physical Database Design 2004 VLDB 0.00025846085
196 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00025581936
224 Self-Driving Database Management Systems 2017 CIDR 0.00023973185
243 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.00023296011
253 Database Cracking 2007 CIDR 0.00023037921
313 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00021288111
380 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00019530546
493 Database Tuning Advisor for Microsoft SQL Server 2005 2004 VLDB 0.0001735831
496 Adaptive Self-Tuning Memory in DB2 2006 VLDB 0.00017347275
583 Automatic Performance Diagnosis and Tuning in Oracle 2005 CIDR 0.00015964021
604 Rethinking Database System Architecture: Towards a Self-tuning RISC-style Database System 2000 VLDB 0.00015642703
756 Automatic Physical Database Tuning: A Relaxation-based Approach 2005 SIGMOD 0.00014209974
757 DBSherlock: A Performance Diagnostic Tool for Transactional Databases 2016 SIGMOD 0.00014202187
775 Self-tuning Database Technology and Information Services: from Wishful Thinking to Viable Engineering 2002 VLDB 0.00014062388
1,611 The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models 2018 SIGMOD 0.00010066379
1,696 Self-organizing Tuple Reconstruction in Column-stores 2009 SIGMOD 9.8272691e-05
1,846 Merging What's Cracked, Cracking What's Merged: Adaptive Indexing in Main-Memory Column-Stores 2011 VLDB 9.5057831e-05
2,392 The Uncracked Pieces in Database Cracking 2014 VLDB 8.5172189e-05
7,838 Automated design of multidimensional clustering tables for relational databases 2004 VLDB 5.4264579e-05
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