| 74 |
Automatic Database Management System Tuning Through Large-scale Machine Learning |
2017 |
SIGMOD |
0.00037164008 |
| 224 |
Self-Driving Database Management Systems |
2017 |
CIDR |
0.00023973185 |
| 309 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.0002143249 |
| 411 |
QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning |
2019 |
VLDB |
0.0001874043 |
| 474 |
Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems |
2012 |
SIGMOD |
0.00017638418 |
| 550 |
SageDB: A Learned Database System |
2019 |
CIDR |
0.00016525249 |
| 757 |
DBSherlock: A Performance Diagnostic Tool for Transactional Databases |
2016 |
SIGMOD |
0.00014202187 |
| 1,151 |
Data Management Challenges in Production Machine Learning |
2017 |
SIGMOD |
0.000117662 |
| 1,294 |
An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems |
2021 |
VLDB |
0.00011129451 |
| 1,700 |
Black or White? How to Develop an AutoTuner for Memory-based Analytics |
2020 |
SIGMOD |
9.8224761e-05 |
| 1,706 |
PerfXplain: Debugging MapReduce Job Performance |
2012 |
VLDB |
9.804657e-05 |
| 2,227 |
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization |
2024 |
VLDB |
8.7924681e-05 |
| 2,572 |
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases |
2021 |
SIGMOD |
8.2581875e-05 |
| 2,779 |
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation |
2022 |
VLDB |
8.0085666e-05 |
| 3,057 |
LlamaTune: Sample-Efficient DBMS Configuration Tuning |
2022 |
VLDB |
7.6865211e-05 |
| 3,172 |
CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions |
2021 |
VLDB |
7.5556865e-05 |
| 3,328 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
7.4094448e-05 |
| 3,443 |
A Demonstration of the OtterTune Automatic Database Management System Tuning Service |
2018 |
VLDB |
7.2781031e-05 |
| 3,486 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements |
2022 |
SIGMOD |
7.2428834e-05 |
| 3,575 |
Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation |
2021 |
VLDB |
7.1769215e-05 |
| 3,839 |
Automatic Database Configuration Debugging using Retrieval-Augmented Language Models |
2025 |
SIGMOD |
6.9704205e-05 |
| 3,959 |
MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems |
2021 |
SIGMOD |
6.8804723e-05 |
| 4,063 |
The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product |
2021 |
VLDB |
6.812902e-05 |
| 4,101 |
Towards Dynamic and Safe Configuration Tuning for Cloud Databases |
2022 |
SIGMOD |
6.7930727e-05 |
| 4,343 |
Intelligent Scaling in Amazon Redshift |
2024 |
SIGMOD |
6.6397106e-05 |
| 4,479 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.5665703e-05 |
| 4,489 |
Real-time Workload Pattern Analysis for Large-scale Cloud Databases |
2023 |
VLDB |
6.5619575e-05 |
| 4,502 |
Xplus: A SQL-Tuning-Aware Query Optimizer |
2010 |
VLDB |
6.5572851e-05 |
| 4,874 |
iTuned: A Tool for Configuring and Visualizing Database Parameters |
2010 |
SIGMOD |
6.3578928e-05 |
| 5,046 |
Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems |
2021 |
VLDB |
6.2884087e-05 |
| 5,098 |
DBPA: A Benchmark for Transactional Database Performance Anomalies |
2023 |
SIGMOD |
6.2631174e-05 |
| 5,211 |
Database Workload Characterization with Query Plan Encoders |
2022 |
VLDB |
6.2141929e-05 |
| 5,304 |
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning |
2024 |
VLDB |
6.1758143e-05 |
| 5,979 |
Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems |
2019 |
VLDB |
5.910201e-05 |
| 5,982 |
Towards instance-optimized data systems |
2021 |
VLDB |
5.9096991e-05 |
| 6,158 |
Rethinking Learned Cost Models: Why Start from Scratch? |
2023 |
SIGMOD |
5.8518237e-05 |
| 6,464 |
Towards General and Efficient Online Tuning for Spark |
2023 |
VLDB |
5.759941e-05 |
| 6,752 |
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning |
2023 |
SIGMOD |
5.6733557e-05 |
| 7,092 |
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model |
2025 |
VLDB |
5.5868637e-05 |
| 7,621 |
SageDB: An Instance-Optimized Data Analytics System |
2022 |
VLDB |
5.4664683e-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 |
| 7,925 |
CAMAL: Optimizing LSM-trees via Active Learning |
2024 |
SIGMOD |
5.4086685e-05 |
| 8,638 |
Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines |
2024 |
SIGMOD |
5.2825944e-05 |
| 8,843 |
PARAS: A Parameter Space Framework for Online Association Mining |
2013 |
VLDB |
5.250566e-05 |
| 8,902 |
Tiresias: Enabling Predictive Autonomous Storage and Indexing |
2022 |
VLDB |
5.2387388e-05 |
| 9,946 |
AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning |
2026 |
SIGMOD |
5.0910746e-05 |
| 9,961 |
Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System |
2022 |
VLDB |
5.0910746e-05 |
| 9,995 |
Graph Transformers for Query Plan Representation: Potentials and Challenges |
2025 |
VLDB |
5.0845476e-05 |
| 10,123 |
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems |
2023 |
VLDB |
5.0638787e-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 |