| 78 |
Automatic Database Management System Tuning Through Large-scale Machine Learning |
2017 |
SIGMOD |
0.00036675568 |
| 224 |
Self-Driving Database Management Systems |
2017 |
CIDR |
0.00024011047 |
| 314 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.00021276452 |
| 437 |
QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning |
2019 |
VLDB |
0.00018310278 |
| 473 |
Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems |
2012 |
SIGMOD |
0.00017684278 |
| 555 |
SageDB: A Learned Database System |
2019 |
CIDR |
0.0001650754 |
| 783 |
DBSherlock: A Performance Diagnostic Tool for Transactional Databases |
2016 |
SIGMOD |
0.0001401708 |
| 1,153 |
Data Management Challenges in Production Machine Learning |
2017 |
SIGMOD |
0.00011793347 |
| 1,289 |
An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems |
2021 |
VLDB |
0.00011159167 |
| 1,699 |
Black or White? How to Develop an AutoTuner for Memory-based Analytics |
2020 |
SIGMOD |
9.8403606e-05 |
| 1,708 |
PerfXplain: Debugging MapReduce Job Performance |
2012 |
VLDB |
9.8184303e-05 |
| 2,227 |
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization |
2024 |
VLDB |
8.8007923e-05 |
| 2,721 |
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases |
2021 |
SIGMOD |
8.0931221e-05 |
| 2,770 |
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation |
2022 |
VLDB |
8.0343719e-05 |
| 3,052 |
LlamaTune: Sample-Efficient DBMS Configuration Tuning |
2022 |
VLDB |
7.704739e-05 |
| 3,159 |
CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions |
2021 |
VLDB |
7.5797912e-05 |
| 3,430 |
A Demonstration of the OtterTune Automatic Database Management System Tuning Service |
2018 |
VLDB |
7.3022151e-05 |
| 3,487 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements |
2022 |
SIGMOD |
7.2603973e-05 |
| 3,565 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
7.200937e-05 |
| 3,588 |
Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation |
2021 |
VLDB |
7.1841858e-05 |
| 3,964 |
MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems |
2021 |
SIGMOD |
6.889374e-05 |
| 4,080 |
Towards Dynamic and Safe Configuration Tuning for Cloud Databases |
2022 |
SIGMOD |
6.8151596e-05 |
| 4,113 |
Automatic Database Configuration Debugging using Retrieval-Augmented Language Models |
2025 |
SIGMOD |
6.7964307e-05 |
| 4,138 |
The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product |
2021 |
VLDB |
6.782996e-05 |
| 4,459 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.5883555e-05 |
| 4,470 |
Real-time Workload Pattern Analysis for Large-scale Cloud Databases |
2023 |
VLDB |
6.5833414e-05 |
| 4,508 |
Xplus: A SQL-Tuning-Aware Query Optimizer |
2010 |
VLDB |
6.5696141e-05 |
| 4,668 |
Intelligent Scaling in Amazon Redshift |
2024 |
SIGMOD |
6.4768105e-05 |
| 4,862 |
iTuned: A Tool for Configuring and Visualizing Database Parameters |
2010 |
SIGMOD |
6.3760696e-05 |
| 5,022 |
Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems |
2021 |
VLDB |
6.309271e-05 |
| 5,080 |
DBPA: A Benchmark for Transactional Database Performance Anomalies |
2023 |
SIGMOD |
6.2830313e-05 |
| 5,188 |
Database Workload Characterization with Query Plan Encoders |
2022 |
VLDB |
6.2346845e-05 |
| 5,284 |
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning |
2024 |
VLDB |
6.1963031e-05 |
| 5,969 |
Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems |
2019 |
VLDB |
5.9296488e-05 |
| 5,973 |
Towards instance-optimized data systems |
2021 |
VLDB |
5.9281867e-05 |
| 6,453 |
Towards General and Efficient Online Tuning for Spark |
2023 |
VLDB |
5.7790502e-05 |
| 6,732 |
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning |
2023 |
SIGMOD |
5.6921776e-05 |
| 7,021 |
Rethinking Learned Cost Models: Why Start from Scratch? |
2023 |
SIGMOD |
5.6168049e-05 |
| 7,072 |
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model |
2025 |
VLDB |
5.6053987e-05 |
| 7,604 |
SageDB: An Instance-Optimized Data Analytics System |
2022 |
VLDB |
5.4846038e-05 |
| 7,909 |
CAMAL: Optimizing LSM-trees via Active Learning |
2024 |
SIGMOD |
5.4266123e-05 |
| 7,915 |
Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems |
2022 |
SIGMOD |
5.4258674e-05 |
| 8,619 |
Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines |
2024 |
SIGMOD |
5.3001199e-05 |
| 8,826 |
PARAS: A Parameter Space Framework for Online Association Mining |
2013 |
VLDB |
5.2679852e-05 |
| 8,881 |
Tiresias: Enabling Predictive Autonomous Storage and Indexing |
2022 |
VLDB |
5.255975e-05 |
| 9,911 |
AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning |
2026 |
SIGMOD |
5.1079647e-05 |
| 9,926 |
Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System |
2022 |
VLDB |
5.1079647e-05 |
| 9,962 |
Graph Transformers for Query Plan Representation: Potentials and Challenges |
2025 |
VLDB |
5.1014161e-05 |
| 10,089 |
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems |
2023 |
VLDB |
5.0806786e-05 |
| 10,297 |
Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents |
2026 |
VLDB |
5.0407989e-05 |