| 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 |
| 474 |
Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems |
2012 |
SIGMOD |
0.00017638418 |
| 496 |
Adaptive Self-Tuning Memory in DB2 |
2006 |
VLDB |
0.00017347275 |
| 702 |
Database Architecture Evolution: Mammals Flourished long before Dinosaurs became Extinct |
2009 |
VLDB |
0.0001464107 |
| 756 |
Automatic Physical Database Tuning: A Relaxation-based Approach |
2005 |
SIGMOD |
0.00014209974 |
| 1,072 |
NoDB: Efficient Query Execution on Raw Data Files |
2012 |
SIGMOD |
0.00012143482 |
| 1,132 |
Qd-tree: Learning Data Layouts for Big Data Analytics |
2020 |
SIGMOD |
0.00011873466 |
| 1,282 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00011197535 |
| 1,400 |
Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms |
2020 |
VLDB |
0.00010759064 |
| 1,517 |
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database |
2019 |
SIGMOD |
0.00010385462 |
| 1,696 |
Self-organizing Tuple Reconstruction in Column-stores |
2009 |
SIGMOD |
9.8272691e-05 |
| 1,823 |
CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads |
2011 |
VLDB |
9.5457638e-05 |
| 1,892 |
Automated Partitioning Design in Parallel Database Systems |
2011 |
SIGMOD |
9.405261e-05 |
| 1,937 |
Here are my Data Files. Here are my Queries. Where are my Results? |
2011 |
CIDR |
9.3333463e-05 |
| 2,036 |
Efficient Use of the Query Optimizer for Automated Physical Design |
2007 |
VLDB |
9.1356845e-05 |
| 2,169 |
QueryFormer: A Tree Transformer Model for Query Plan Representation |
2022 |
VLDB |
8.9151935e-05 |
| 2,290 |
Active Learning for ML Enhanced Database Systems |
2020 |
SIGMOD |
8.6813363e-05 |
| 2,381 |
To Tune or not to Tune? A Lightweight Physical Design Alerter |
2006 |
VLDB |
8.5299827e-05 |
| 2,481 |
Learning a Partitioning Advisor for Cloud Databases |
2020 |
SIGMOD |
8.3862675e-05 |
| 2,784 |
Automatic Physical Design Tuning: Workload as a Sequence |
2006 |
SIGMOD |
8.0021123e-05 |
| 2,864 |
Constrained Physical Design Tuning |
2008 |
VLDB |
7.9087048e-05 |
| 2,891 |
Optimal Column Layout for Hybrid Workloads |
2019 |
VLDB |
7.887378e-05 |
| 3,050 |
Configuration-Parametric Query Optimization for Physical Design Tuning |
2008 |
SIGMOD |
7.6969161e-05 |
| 3,361 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
7.3621595e-05 |
| 3,408 |
Native Store Extension for SAP HANA |
2019 |
VLDB |
7.3093844e-05 |
| 3,456 |
Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing |
2017 |
VLDB |
7.2673968e-05 |
| 3,457 |
Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing |
2019 |
SIGMOD |
7.2667942e-05 |
| 3,575 |
Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation |
2021 |
VLDB |
7.1769215e-05 |
| 3,614 |
Updating a Cracked Database |
2007 |
SIGMOD |
7.1420426e-05 |
| 3,890 |
Stochastic Database Cracking: Towards Robust Adaptive Indexing in Main-Memory Column-Stores |
2012 |
VLDB |
6.926806e-05 |
| 4,022 |
Automated Generation of Materialized Views in Oracle |
2020 |
VLDB |
6.8345671e-05 |
| 4,134 |
Resource Elasticity for Large-Scale Machine Learning |
2015 |
SIGMOD |
6.7721426e-05 |
| 4,550 |
AdaptDB: Adaptive Partitioning for Distributed Joins |
2017 |
VLDB |
6.5327021e-05 |
| 4,586 |
COLT: Continuous On-Line Database Tuning |
2006 |
SIGMOD |
6.5058648e-05 |
| 4,629 |
Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications |
2009 |
VLDB |
6.4794914e-05 |
| 4,701 |
Columnstore and B+ tree – Are Hybrid Physical Designs Important? |
2018 |
SIGMOD |
6.44638e-05 |
| 4,726 |
Learned Index Benefits: Machine Learning Based Index Performance Estimation |
2022 |
VLDB |
6.4329878e-05 |
| 5,149 |
Holistic Indexing in Main-memory Column-stores |
2015 |
SIGMOD |
6.2382463e-05 |
| 5,272 |
Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty |
2022 |
VLDB |
6.1887235e-05 |
| 5,611 |
StatAdvisor: Recommending Statistical Views |
2009 |
VLDB |
6.0498181e-05 |
| 5,687 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
6.0201937e-05 |
| 5,866 |
Compression Aware Physical Database Design |
2011 |
VLDB |
5.9492579e-05 |
| 6,224 |
Efficient Detection of Empty-Result Queries |
2006 |
VLDB |
5.828372e-05 |
| 6,650 |
Physical Visualization Design: Decoupling Interface and System Design |
2025 |
SIGMOD |
5.7046144e-05 |
| 6,779 |
Guided automated learning for query workload re-optimization |
2019 |
VLDB |
5.6686556e-05 |
| 6,977 |
Jigsaw: A Data Storage and Query Processing Engine for Irregular Table Partitioning |
2021 |
SIGMOD |
5.6135617e-05 |
| 7,162 |
Sibyl: Forecasting Time-Evolving Query Workloads |
2024 |
SIGMOD |
5.5798063e-05 |
| 7,249 |
QueryScope: Visualizing Queries for Repeatable Database Tuning |
2008 |
VLDB |
5.5586903e-05 |
| 7,424 |
Index Advisors on Quantum Platforms |
2024 |
VLDB |
5.5148364e-05 |