| 84 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00035838391 |
| 334 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.00020875082 |
| 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 |
| 1,135 |
Qd-tree: Learning Data Layouts for Big Data Analytics |
2020 |
SIGMOD |
0.00012032847 |
| 1,170 |
QuickSel: Quick Selectivity Learning with Mixture Models |
2020 |
SIGMOD |
0.00011827259 |
| 1,279 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00011361878 |
| 1,337 |
DB-BERT: A Database Tuning Tool that "Reads the Manual" |
2022 |
SIGMOD |
0.00011117488 |
| 1,344 |
An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems |
2021 |
VLDB |
0.00011094717 |
| 1,468 |
Towards a Learning Optimizer for Shared Clouds |
2019 |
VLDB |
0.00010686496 |
| 1,551 |
Updatable Learned Index with Precise Positions |
2021 |
VLDB |
0.00010381398 |
| 1,559 |
Cloud-Native Database Systems at Alibaba: Opportunities and Challenges |
2019 |
VLDB |
0.00010362456 |
| 1,616 |
The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models |
2018 |
SIGMOD |
0.00010213691 |
| 1,686 |
Black or White? How to Develop an AutoTuner for Memory-based Analytics |
2020 |
SIGMOD |
0.00010008686 |
| 1,942 |
Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn |
2019 |
CIDR |
9.4451535e-05 |
| 1,949 |
Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases |
2020 |
VLDB |
9.430385e-05 |
| 1,988 |
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation |
2021 |
VLDB |
9.3501502e-05 |
| 2,298 |
GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization |
2024 |
VLDB |
8.7886538e-05 |
| 2,313 |
Active Learning for ML Enhanced Database Systems |
2020 |
SIGMOD |
8.762627e-05 |
| 2,620 |
Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation |
2021 |
VLDB |
8.3363963e-05 |
| 2,740 |
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation |
2022 |
VLDB |
8.1855759e-05 |
| 2,866 |
Optimal Column Layout for Hybrid Workloads |
2019 |
VLDB |
8.0175489e-05 |
| 2,888 |
AI Meets Database: AI4DB and DB4AI |
2021 |
SIGMOD |
7.9941489e-05 |
| 3,035 |
Instance-Optimized Data Layouts for Cloud Analytics Workloads |
2021 |
SIGMOD |
7.8297746e-05 |
| 3,116 |
ResTune: Resource Oriented Tuning Boosted by Meta-Learning for Cloud Databases |
2021 |
SIGMOD |
7.7390737e-05 |
| 3,219 |
iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases |
2019 |
VLDB |
7.6283153e-05 |
| 3,320 |
Autoscaling Tiered Cloud Storage in Anna |
2019 |
VLDB |
7.5223482e-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 |
| 3,367 |
Native Store Extension for SAP HANA |
2019 |
VLDB |
7.4718829e-05 |
| 3,400 |
A Demonstration of the OtterTune Automatic Database Management System Tuning Service |
2018 |
VLDB |
7.4433294e-05 |
| 3,459 |
A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics |
2018 |
VLDB |
7.3953716e-05 |
| 3,573 |
VISTA: Optimized System for Declarative Feature Transfer from Deep CNNs at Scale |
2020 |
SIGMOD |
7.2977194e-05 |
| 3,577 |
Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine |
2022 |
VLDB |
7.2930211e-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 |
| 3,662 |
openGauss: An Autonomous Database System |
2021 |
VLDB |
7.2166682e-05 |
| 3,757 |
Panda: Performance Debugging for Databases using LLM Agents |
2024 |
CIDR |
7.1483644e-05 |
| 3,802 |
Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines |
2020 |
VLDB |
7.1115502e-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 |
| 3,998 |
Deploying a Steered Query Optimizer in Production at Microsoft |
2022 |
SIGMOD |
6.9676473e-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 |
| 4,516 |
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures |
2022 |
SIGMOD |
6.6489359e-05 |
| 4,789 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
6.5072039e-05 |
| 4,993 |
Key-Value Storage Engines |
2020 |
SIGMOD |
6.4096682e-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 |
| 5,107 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
6.3623786e-05 |