| 89 |
Automatic Database Management System Tuning Through Large-scale Machine Learning |
2017 |
SIGMOD |
0.00035598024 |
| 238 |
Self-Driving Database Management Systems |
2017 |
CIDR |
0.00024001206 |
| 334 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.00020961385 |
| 470 |
Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems |
2012 |
SIGMOD |
0.00018014668 |
| 493 |
QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning |
2019 |
VLDB |
0.00017600244 |
| 569 |
SageDB: A Learned Database System |
2019 |
CIDR |
0.00016472308 |
| 779 |
DBSherlock: A Performance Diagnostic Tool for Transactional Databases |
2016 |
SIGMOD |
0.00014100375 |
| 1,192 |
Data Management Challenges in Production Machine Learning |
2017 |
SIGMOD |
0.00011836578 |
| 1,324 |
An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems |
2021 |
VLDB |
0.0001126122 |
| 1,663 |
PerfXplain: Debugging MapReduce Job Performance |
2012 |
VLDB |
0.00010148026 |
| 1,709 |
Black or White? How to Develop an AutoTuner for Memory-based Analytics |
2020 |
SIGMOD |
0.0001004117 |
| 2,428 |
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization |
2024 |
VLDB |
8.6581081e-05 |
| 2,859 |
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation |
2022 |
VLDB |
8.094221e-05 |
| 3,161 |
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases |
2021 |
SIGMOD |
7.7501079e-05 |
| 3,298 |
LlamaTune: Sample-Efficient DBMS Configuration Tuning |
2022 |
VLDB |
7.6094798e-05 |
| 3,347 |
A Demonstration of the OtterTune Automatic Database Management System Tuning Service |
2018 |
VLDB |
7.5591646e-05 |
| 3,430 |
CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions |
2021 |
VLDB |
7.4959348e-05 |
| 3,539 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements |
2022 |
SIGMOD |
7.3903311e-05 |
| 3,555 |
Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation |
2021 |
VLDB |
7.3766884e-05 |
| 3,755 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
7.2037909e-05 |
| 3,911 |
MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems |
2021 |
SIGMOD |
7.0870659e-05 |
| 3,963 |
Towards Dynamic and Safe Configuration Tuning for Cloud Databases |
2022 |
SIGMOD |
7.0613767e-05 |
| 4,342 |
Real-time Workload Pattern Analysis for Large-scale Cloud Databases |
2023 |
VLDB |
6.823998e-05 |
| 4,376 |
Xplus: A SQL-Tuning-Aware Query Optimizer |
2010 |
VLDB |
6.8022907e-05 |
| 4,445 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.7542989e-05 |
| 4,537 |
The Art of Balance: A RateupDBTM Experience of Building a CPU/GPU Hybrid Database Product |
2021 |
VLDB |
6.7115627e-05 |
| 4,734 |
iTuned: A Tool for Configuring and Visualizing Database Parameters |
2010 |
SIGMOD |
6.6019694e-05 |
| 4,968 |
DBPA: A Benchmark for Transactional Database Performance Anomalies |
2023 |
SIGMOD |
6.4908243e-05 |
| 5,009 |
Database Workload Characterization with Query Plan Encoders |
2022 |
VLDB |
6.4710516e-05 |
| 5,095 |
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning |
2024 |
VLDB |
6.4313378e-05 |
| 5,184 |
Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems |
2021 |
VLDB |
6.3945246e-05 |
| 5,312 |
Intelligent Scaling in Amazon Redshift |
2024 |
SIGMOD |
6.3404686e-05 |
| 5,741 |
Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems |
2019 |
VLDB |
6.1656808e-05 |
| 5,938 |
Towards instance-optimized data systems |
2021 |
VLDB |
6.097047e-05 |
| 6,162 |
Automatic Database Configuration Debugging using Retrieval-Augmented Language Models |
2025 |
SIGMOD |
6.0310777e-05 |
| 6,248 |
Towards General and Efficient Online Tuning for Spark |
2023 |
VLDB |
6.0022621e-05 |
| 6,502 |
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning |
2023 |
SIGMOD |
5.9152263e-05 |
| 7,261 |
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model |
2025 |
VLDB |
5.715327e-05 |
| 7,269 |
Rethinking Learned Cost Models: Why Start from Scratch? |
2023 |
SIGMOD |
5.7128028e-05 |
| 7,644 |
CAMAL: Optimizing LSM-trees via Active Learning |
2024 |
SIGMOD |
5.6327117e-05 |
| 7,664 |
Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems |
2022 |
SIGMOD |
5.6285439e-05 |
| 8,212 |
SageDB: An Instance-Optimized Data Analytics System |
2022 |
VLDB |
5.534262e-05 |
| 8,343 |
Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines |
2024 |
SIGMOD |
5.5045113e-05 |
| 8,543 |
PARAS: A Parameter Space Framework for Online Association Mining |
2013 |
VLDB |
5.4746933e-05 |
| 8,666 |
Tiresias: Enabling Predictive Autonomous Storage and Indexing |
2022 |
VLDB |
5.4572677e-05 |
| 9,593 |
Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System |
2022 |
VLDB |
5.3086438e-05 |
| 9,720 |
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems |
2023 |
VLDB |
5.2849709e-05 |
| 9,955 |
SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression |
2025 |
VLDB |
5.2232357e-05 |
| 10,047 |
AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,093 |
MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration |
2026 |
SIGMOD |
5.1725247e-05 |