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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
5616
Venue
SIGMOD
Year
2019
Pagerank
0.0002124895
Overall Rank
514 | 96.43%
DOI
10.1145/3299869.3300085

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 47 of 97 citing papers.

Rank Citing Paper Year Venue Pagerank
7,498 Dendrite: Bolt-on Adaptivity for Data Systems 2021 SIGMOD 4.7180617e-05
7,620 Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads 2023 SIGMOD 4.693568e-05
7,631 A Progress Report on DBOS: A Database-oriented Operating System 2022 CIDR 4.6917915e-05
7,683 TDSQL: Tencent Distributed Database System 2024 VLDB 4.6799361e-05
7,778 Runtime Variation in Big Data Analytics 2023 SIGMOD 4.653651e-05
7,828 Modeling Shifting Workloads for Learned Database Systems 2024 SIGMOD 4.6407986e-05
8,009 CAMAL: Optimizing LSM-trees via Active Learning 2024 SIGMOD 4.6066863e-05
8,020 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 4.6040862e-05
8,082 Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems 2022 SIGMOD 4.5905454e-05
8,095 GaussDB: A Cloud-Native Multi-Primary Database with Compute-Memory-Storage Disaggregation 2024 VLDB 4.5865778e-05
8,097 When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations 2023 VLDB 4.5860503e-05
8,186 E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model 2025 VLDB 4.5651684e-05
8,346 Deep Learning: Systems and Responsibility 2021 SIGMOD 4.5420668e-05
8,458 Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual 2022 SIGMOD 4.5066722e-05
8,615 The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that "Read the Manual" 2021 VLDB 4.484683e-05
8,617 A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning 2024 VLDB 4.4846425e-05
8,834 ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation 2024 SIGMOD 4.4394021e-05
8,896 SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation 2026 VLDB 4.427232e-05
9,190 MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud 2024 VLDB 4.3768215e-05
9,352 Db2une: Tuning Under Pressure via Deep Learning 2024 VLDB 4.3522361e-05
9,605 Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System 2022 VLDB 4.3177432e-05
9,618 A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach 2025 SIGMOD 4.3173366e-05
9,621 ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation 2023 VLDB 4.3167167e-05
9,852 Machine Unlearning in Learned Databases: An Experimental Analysis 2024 SIGMOD 4.2714575e-05
9,892 DBMS Fitting: Why should we learn what we already know? 2020 CIDR 4.261445e-05
9,917 Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes 2023 VLDB 4.2561557e-05
9,956 SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression 2025 VLDB 4.2373024e-05
10,031 PGTuner: An Efficient Framework for Automatic and Transferable Configuration Tuning of Proximity Graphs 2026 SIGMOD 4.1945683e-05
10,093 MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration 2026 SIGMOD 4.1945683e-05
10,164 ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning 2026 SIGMOD 4.1945683e-05
10,217 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 4.1945683e-05
10,247 Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents 2026 VLDB 4.1945683e-05
10,259 Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink 2026 VLDB 4.1945683e-05
10,328 Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction 2026 VLDB 4.1945683e-05
10,370 Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions 2025 SIGMOD 4.1945683e-05
10,414 Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment 2025 SIGMOD 4.1945683e-05
10,418 TXSQL: Lock Optimizations Towards High Contented Workloads 2025 SIGMOD 4.1945683e-05
10,518 High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration 2025 SIGMOD 4.1945683e-05
10,633 AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines 2025 VLDB 4.1945683e-05
10,668 Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems 2025 VLDB 4.1945683e-05
10,849 AXE: A Task Decomposition Approach to Learned LSM Tuning 2025 VLDB 4.1945683e-05
10,872 LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases 2025 VLDB 4.1945683e-05
10,944 Predictive and Near-Optimal Sampling for View Materialization in Video Databases 2024 SIGMOD 4.1945683e-05
11,187 Regularized Pairwise Relationship based Analytics for Structured Data 2023 SIGMOD 4.1945683e-05
11,225 Auto-Tuning with Reinforcement Learning for Permissioned Blockchain Systems 2023 VLDB 4.1945683e-05
11,279 Demonstrating Waffle: A Self-driving Grid Index 2023 VLDB 4.1945683e-05
11,487 Toto - Benchmarking the Efficiency of a Cloud Service 2021 SIGMOD 4.1945683e-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
183 Automatic Database Management System Tuning Through Large-scale Machine Learning 2017 SIGMOD 0.00036721403
224 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies 2004 SIGMOD 0.00032746205
258 DB2 Design Advisor: Integrated Automatic Physical Database Design 2004 VLDB 0.0003022091
285 Automating Physical Database Design in a Parallel Database 2002 SIGMOD 0.0002899128
286 Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design 2004 SIGMOD 0.00028990057
359 Self-Driving Database Management Systems 2017 CIDR 0.0002592783
408 Database Cracking 2007 CIDR 0.00023953844
424 Tuning Database Configuration Parameters with iTuned 2009 VLDB 0.00023616398
516 AutoAdmin "What-if" Index Analysis Utility 1998 SIGMOD 0.00021196031
527 Rethinking Database System Architecture: Towards a Self-tuning RISC-style Database System 2000 VLDB 0.00020868847
661 Database Tuning Advisor for Microsoft SQL Server 2005 2004 VLDB 0.00018481174
663 Adaptive Self-Tuning Memory in DB2 2006 VLDB 0.00018469455
765 Automatic Performance Diagnosis and Tuning in Oracle 2005 CIDR 0.00017016449
846 Self-tuning Database Technology and Information Services: from Wishful Thinking to Viable Engineering 2002 VLDB 0.00015997985
1,017 Automatic Physical Database Tuning: A Relaxation-based Approach 2005 SIGMOD 0.00014634307
1,022 DBSherlock: A Performance Diagnostic Tool for Transactional Databases 2016 SIGMOD 0.00014614917
2,157 The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models 2018 SIGMOD 9.416022e-05
2,229 Self-organizing Tuple Reconstruction in Column-stores 2009 SIGMOD 9.2350274e-05
2,363 Merging What’s Cracked, Cracking What’s Merged: Adaptive Indexing in Main-Memory Column-Stores 2011 VLDB 8.9580928e-05
2,987 The Uncracked Pieces in Database Cracking 2014 VLDB 7.7787088e-05
7,603 Automated design of multidimensional clustering tables for relational databases 2004 VLDB 4.6985903e-05
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