| 86 |
Automatic Database Management System Tuning Through Large-scale Machine Learning |
2017 |
SIGMOD |
0.00035316107 |
| 234 |
Self-Driving Database Management Systems |
2017 |
CIDR |
0.00023810722 |
| 334 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.00020875082 |
| 471 |
Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems |
2012 |
SIGMOD |
0.0001793564 |
| 498 |
QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning |
2019 |
VLDB |
0.00017440583 |
| 568 |
SageDB: A Learned Database System |
2019 |
CIDR |
0.0001641553 |
| 798 |
DBSherlock: A Performance Diagnostic Tool for Transactional Databases |
2016 |
SIGMOD |
0.00013919795 |
| 1,147 |
Data Management Challenges in Production Machine Learning |
2017 |
SIGMOD |
0.00011974846 |
| 1,344 |
An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems |
2021 |
VLDB |
0.00011094717 |
| 1,686 |
Black or White? How to Develop an AutoTuner for Memory-based Analytics |
2020 |
SIGMOD |
0.00010008686 |
| 1,694 |
PerfXplain: Debugging MapReduce Job Performance |
2012 |
VLDB |
9.9953156e-05 |
| 2,298 |
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization |
2024 |
VLDB |
8.7886538e-05 |
| 2,740 |
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation |
2022 |
VLDB |
8.1855759e-05 |
| 3,116 |
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases |
2021 |
SIGMOD |
7.7390737e-05 |
| 3,343 |
LlamaTune: Sample-Efficient DBMS Configuration Tuning |
2022 |
VLDB |
7.4983591e-05 |
| 3,346 |
CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions |
2021 |
VLDB |
7.4967834e-05 |
| 3,400 |
A Demonstration of the OtterTune Automatic Database Management System Tuning Service |
2018 |
VLDB |
7.4433294e-05 |
| 3,586 |
Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation |
2021 |
VLDB |
7.2834069e-05 |
| 3,587 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements |
2022 |
SIGMOD |
7.2829345e-05 |
| 3,809 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
7.1074195e-05 |
| 3,961 |
MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems |
2021 |
SIGMOD |
6.987575e-05 |
| 4,011 |
Towards Dynamic and Safe Configuration Tuning for Cloud Databases |
2022 |
SIGMOD |
6.959982e-05 |
| 4,368 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.7393882e-05 |
| 4,398 |
Real-time Workload Pattern Analysis for Large-scale Cloud Databases |
2023 |
VLDB |
6.7248611e-05 |
| 4,444 |
Xplus: A SQL-Tuning-Aware Query Optimizer |
2010 |
VLDB |
6.6999439e-05 |
| 4,603 |
The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product |
2021 |
VLDB |
6.6105578e-05 |
| 4,788 |
iTuned: A Tool for Configuring and Visualizing Database Parameters |
2010 |
SIGMOD |
6.5079219e-05 |
| 5,023 |
DBPA: A Benchmark for Transactional Database Performance Anomalies |
2023 |
SIGMOD |
6.3979497e-05 |
| 5,073 |
Database Workload Characterization with Query Plan Encoders |
2022 |
VLDB |
6.3751266e-05 |
| 5,171 |
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning |
2024 |
VLDB |
6.3347618e-05 |
| 5,226 |
Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems |
2021 |
VLDB |
6.3090383e-05 |
| 5,369 |
Intelligent Scaling in Amazon Redshift |
2024 |
SIGMOD |
6.2437078e-05 |
| 5,856 |
Automatic Database Configuration Debugging using Retrieval-Augmented Language Models |
2025 |
SIGMOD |
6.0644656e-05 |
| 5,865 |
Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems |
2019 |
VLDB |
6.0619534e-05 |
| 5,974 |
Towards instance-optimized data systems |
2021 |
VLDB |
6.0230488e-05 |
| 6,344 |
Towards General and Efficient Online Tuning for Spark |
2023 |
VLDB |
5.9060457e-05 |
| 6,600 |
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning |
2023 |
SIGMOD |
5.8250114e-05 |
| 6,921 |
Rethinking Learned Cost Models: Why Start from Scratch? |
2023 |
SIGMOD |
5.7388557e-05 |
| 6,997 |
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model |
2025 |
VLDB |
5.7300324e-05 |
| 7,757 |
CAMAL: Optimizing LSM-trees via Active Learning |
2024 |
SIGMOD |
5.5508469e-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 |
| 8,323 |
SageDB: An Instance-Optimized Data Analytics System |
2022 |
VLDB |
5.4539294e-05 |
| 8,463 |
Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines |
2024 |
SIGMOD |
5.4205593e-05 |
| 8,656 |
PARAS: A Parameter Space Framework for Online Association Mining |
2013 |
VLDB |
5.3909781e-05 |
| 8,783 |
Tiresias: Enabling Predictive Autonomous Storage and Indexing |
2022 |
VLDB |
5.3740362e-05 |
| 9,739 |
Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System |
2022 |
VLDB |
5.227679e-05 |
| 9,898 |
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems |
2023 |
VLDB |
5.1997534e-05 |
| 10,105 |
SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression |
2025 |
VLDB |
5.1435736e-05 |
| 10,253 |
HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search |
2026 |
SIGMOD |
5.093636e-05 |
| 10,340 |
AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning |
2026 |
SIGMOD |
5.093636e-05 |