| 85 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00035876108 |
| 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 |
| 555 |
SageDB: A Learned Database System |
2019 |
CIDR |
0.0001650754 |
| 1,128 |
Qd-tree: Learning Data Layouts for Big Data Analytics |
2020 |
SIGMOD |
0.00011901941 |
| 1,155 |
QuickSel: Quick Selectivity Learning with Mixture Models |
2020 |
SIGMOD |
0.00011777046 |
| 1,245 |
DB-BERT: A Database Tuning Tool that "Reads the Manual" |
2022 |
SIGMOD |
0.0001136308 |
| 1,280 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00011224914 |
| 1,289 |
An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems |
2021 |
VLDB |
0.00011159167 |
| 1,432 |
Towards a Learning Optimizer for Shared Clouds |
2019 |
VLDB |
0.00010676754 |
| 1,512 |
Cloud-Native Database Systems at Alibaba: Opportunities and Challenges |
2019 |
VLDB |
0.00010425349 |
| 1,525 |
Updatable Learned Index with Precise Positions |
2021 |
VLDB |
0.00010355133 |
| 1,606 |
The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models |
2018 |
SIGMOD |
0.00010091937 |
| 1,699 |
Black or White? How to Develop an AutoTuner for Memory-based Analytics |
2020 |
SIGMOD |
9.8403606e-05 |
| 1,849 |
Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases |
2020 |
VLDB |
9.5032324e-05 |
| 1,891 |
Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn |
2019 |
CIDR |
9.4233024e-05 |
| 2,002 |
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation |
2021 |
VLDB |
9.2076835e-05 |
| 2,227 |
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization |
2024 |
VLDB |
8.8007923e-05 |
| 2,278 |
Active Learning for ML Enhanced Database Systems |
2020 |
SIGMOD |
8.7057608e-05 |
| 2,583 |
Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation |
2021 |
VLDB |
8.2589842e-05 |
| 2,721 |
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases |
2021 |
SIGMOD |
8.0931221e-05 |
| 2,765 |
Instance-Optimized Data Layouts for Cloud Analytics Workloads |
2021 |
SIGMOD |
8.0401855e-05 |
| 2,770 |
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation |
2022 |
VLDB |
8.0343719e-05 |
| 2,880 |
Optimal Column Layout for Hybrid Workloads |
2019 |
VLDB |
7.9118308e-05 |
| 2,908 |
AI Meets Database: AI4DB and DB4AI |
2021 |
SIGMOD |
7.8716173e-05 |
| 3,029 |
Autoscaling Tiered Cloud Storage in Anna |
2019 |
VLDB |
7.7341355e-05 |
| 3,032 |
iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases |
2019 |
VLDB |
7.7317595e-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 |
| 3,171 |
Panda: Performance Debugging for Databases using LLM Agents |
2024 |
CIDR |
7.5661555e-05 |
| 3,404 |
Native Store Extension for SAP HANA |
2019 |
VLDB |
7.3257341e-05 |
| 3,430 |
A Demonstration of the OtterTune Automatic Database Management System Tuning Service |
2018 |
VLDB |
7.3022151e-05 |
| 3,480 |
Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine |
2022 |
VLDB |
7.2661848e-05 |
| 3,487 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements |
2022 |
SIGMOD |
7.2603973e-05 |
| 3,518 |
A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics |
2018 |
VLDB |
7.236638e-05 |
| 3,525 |
Key-Value Storage Engines |
2020 |
SIGMOD |
7.2293566e-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 |
| 3,632 |
VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale |
2020 |
SIGMOD |
7.146238e-05 |
| 3,672 |
Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines |
2020 |
VLDB |
7.1084283e-05 |
| 3,680 |
openGauss: An Autonomous Database System |
2021 |
VLDB |
7.1016555e-05 |
| 3,948 |
Deploying a Steered Query Optimizer in Production at Microsoft |
2022 |
SIGMOD |
6.9051584e-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 |
| 4,459 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.5883555e-05 |
| 4,618 |
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures |
2022 |
SIGMOD |
6.4981355e-05 |
| 4,668 |
Intelligent Scaling in Amazon Redshift |
2024 |
SIGMOD |
6.4768105e-05 |
| 4,743 |
Machine Learning for Databases |
2021 |
VLDB |
6.4379536e-05 |
| 4,779 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
6.416435e-05 |