| 78 |
Automatic Database Management System Tuning Through Large-scale Machine Learning |
2017 |
SIGMOD |
0.00036684414 |
| 224 |
Self-Driving Database Management Systems |
2017 |
CIDR |
0.00024013745 |
| 314 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.00021282642 |
| 437 |
QTune: A Query-Aware Database Tuning System with Deep Reinforcement Learning |
2019 |
VLDB |
0.00018315867 |
| 472 |
Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems |
2012 |
SIGMOD |
0.00017692264 |
| 555 |
SageDB: A Learned Database System |
2019 |
CIDR |
0.00016506678 |
| 782 |
DBSherlock: A Performance Diagnostic Tool for Transactional Databases |
2016 |
SIGMOD |
0.00014022168 |
| 1,153 |
Data Management Challenges in Production Machine Learning |
2017 |
SIGMOD |
0.00011798912 |
| 1,289 |
An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems |
2021 |
VLDB |
0.00011162479 |
| 1,699 |
Black or White? How to Develop an AutoTuner for Memory-based Analytics |
2020 |
SIGMOD |
9.8445322e-05 |
| 1,708 |
PerfXplain: Debugging MapReduce Job Performance |
2012 |
VLDB |
9.8224587e-05 |
| 2,231 |
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization |
2024 |
VLDB |
8.7982985e-05 |
| 2,720 |
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases |
2021 |
SIGMOD |
8.0966919e-05 |
| 2,772 |
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation |
2022 |
VLDB |
8.035288e-05 |
| 3,051 |
LlamaTune: Sample-Efficient DBMS Configuration Tuning |
2022 |
VLDB |
7.7055931e-05 |
| 3,158 |
CGPTuner: a Contextual Gaussian Process Bandit Approach for the Automatic Tuning of IT Configurations Under Varying Workload Conditions |
2021 |
VLDB |
7.5811757e-05 |
| 3,430 |
A Demonstration of the OtterTune Automatic Database Management System Tuning Service |
2018 |
VLDB |
7.3056632e-05 |
| 3,486 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements |
2022 |
SIGMOD |
7.2636102e-05 |
| 3,563 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
7.2042148e-05 |
| 3,590 |
Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation |
2021 |
VLDB |
7.1865343e-05 |
| 3,965 |
MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems |
2021 |
SIGMOD |
6.8918628e-05 |
| 4,079 |
Towards Dynamic and Safe Configuration Tuning for Cloud Databases |
2022 |
SIGMOD |
6.818264e-05 |
| 4,114 |
Automatic Database Configuration Debugging using Retrieval-Augmented Language Models |
2025 |
SIGMOD |
6.7971182e-05 |
| 4,137 |
The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product |
2021 |
VLDB |
6.7861661e-05 |
| 4,457 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.5913732e-05 |
| 4,468 |
Real-time Workload Pattern Analysis for Large-scale Cloud Databases |
2023 |
VLDB |
6.5863349e-05 |
| 4,506 |
Xplus: A SQL-Tuning-Aware Query Optimizer |
2010 |
VLDB |
6.5726463e-05 |
| 4,666 |
Intelligent Scaling in Amazon Redshift |
2024 |
SIGMOD |
6.479878e-05 |
| 4,862 |
iTuned: A Tool for Configuring and Visualizing Database Parameters |
2010 |
SIGMOD |
6.3786959e-05 |
| 5,018 |
Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems |
2021 |
VLDB |
6.3121723e-05 |
| 5,077 |
DBPA: A Benchmark for Transactional Database Performance Anomalies |
2023 |
SIGMOD |
6.2858696e-05 |
| 5,194 |
Database Workload Characterization with Query Plan Encoders |
2022 |
VLDB |
6.2353557e-05 |
| 5,286 |
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning |
2024 |
VLDB |
6.1971399e-05 |
| 5,967 |
Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems |
2019 |
VLDB |
5.9324372e-05 |
| 5,974 |
Towards instance-optimized data systems |
2021 |
VLDB |
5.9305575e-05 |
| 6,450 |
Towards General and Efficient Online Tuning for Spark |
2023 |
VLDB |
5.7817872e-05 |
| 6,726 |
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning |
2023 |
SIGMOD |
5.6948731e-05 |
| 7,033 |
Rethinking Learned Cost Models: Why Start from Scratch? |
2023 |
SIGMOD |
5.6168499e-05 |
| 7,070 |
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model |
2025 |
VLDB |
5.6080535e-05 |
| 7,598 |
SageDB: An Instance-Optimized Data Analytics System |
2022 |
VLDB |
5.4871733e-05 |
| 7,905 |
CAMAL: Optimizing LSM-trees via Active Learning |
2024 |
SIGMOD |
5.4291824e-05 |
| 7,915 |
Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems |
2022 |
SIGMOD |
5.4276987e-05 |
| 8,620 |
Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines |
2024 |
SIGMOD |
5.301557e-05 |
| 8,817 |
PARAS: A Parameter Space Framework for Online Association Mining |
2013 |
VLDB |
5.2703299e-05 |
| 8,872 |
Tiresias: Enabling Predictive Autonomous Storage and Indexing |
2022 |
VLDB |
5.2584643e-05 |
| 9,904 |
AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning |
2026 |
SIGMOD |
5.1103839e-05 |
| 9,919 |
Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System |
2022 |
VLDB |
5.1103839e-05 |
| 9,956 |
Graph Transformers for Query Plan Representation: Potentials and Challenges |
2025 |
VLDB |
5.1038322e-05 |
| 10,084 |
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems |
2023 |
VLDB |
5.0830849e-05 |
| 10,291 |
Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents |
2026 |
VLDB |
5.0431863e-05 |