| 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 |
| 472 |
Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems |
2012 |
SIGMOD |
0.00017692264 |
| 508 |
Adaptive Self-Tuning Memory in DB2 |
2006 |
VLDB |
0.00017089907 |
| 702 |
Database Architecture Evolution: Mammals Flourished long before Dinosaurs became Extinct |
2009 |
VLDB |
0.00014673738 |
| 751 |
Automatic Physical Database Tuning: A Relaxation-based Approach |
2005 |
SIGMOD |
0.0001425375 |
| 1,069 |
NoDB: Efficient Query Execution on Raw Data Files |
2012 |
SIGMOD |
0.00012185253 |
| 1,132 |
Qd-tree: Learning Data Layouts for Big Data Analytics |
2020 |
SIGMOD |
0.00011898257 |
| 1,279 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00011226878 |
| 1,397 |
Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms |
2020 |
VLDB |
0.00010789242 |
| 1,516 |
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database |
2019 |
SIGMOD |
0.00010402594 |
| 1,694 |
Self-organizing Tuple Reconstruction in Column-stores |
2009 |
SIGMOD |
9.8562172e-05 |
| 1,815 |
CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads |
2011 |
VLDB |
9.5791737e-05 |
| 1,883 |
Automated Partitioning Design in Parallel Database Systems |
2011 |
SIGMOD |
9.4391795e-05 |
| 1,925 |
Here are my Data Files. Here are my Queries. Where are my Results? |
2011 |
CIDR |
9.3670488e-05 |
| 2,023 |
Efficient Use of the Query Optimizer for Automated Physical Design |
2007 |
VLDB |
9.1669658e-05 |
| 2,250 |
QueryFormer: A Tree Transformer Model for Query Plan Representation |
2022 |
VLDB |
8.7533306e-05 |
| 2,275 |
Active Learning for ML Enhanced Database Systems |
2020 |
SIGMOD |
8.7090584e-05 |
| 2,373 |
To Tune or not to Tune? A Lightweight Physical Design Alerter |
2006 |
VLDB |
8.5606392e-05 |
| 2,478 |
Learning a Partitioning Advisor for Cloud Databases |
2020 |
SIGMOD |
8.4079121e-05 |
| 2,775 |
Automatic Physical Design Tuning: Workload as a Sequence |
2006 |
SIGMOD |
8.0312847e-05 |
| 2,857 |
Constrained Physical Design Tuning |
2008 |
VLDB |
7.9380294e-05 |
| 2,882 |
Optimal Column Layout for Hybrid Workloads |
2019 |
VLDB |
7.9116043e-05 |
| 3,041 |
Configuration-Parametric Query Optimization for Physical Design Tuning |
2008 |
SIGMOD |
7.7215151e-05 |
| 3,367 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
7.3719456e-05 |
| 3,406 |
Native Store Extension for SAP HANA |
2019 |
VLDB |
7.3281944e-05 |
| 3,445 |
Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing |
2017 |
VLDB |
7.2943981e-05 |
| 3,446 |
Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing |
2019 |
SIGMOD |
7.2942885e-05 |
| 3,590 |
Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation |
2021 |
VLDB |
7.1865343e-05 |
| 3,606 |
Updating a Cracked Database |
2007 |
SIGMOD |
7.1686756e-05 |
| 3,878 |
Stochastic Database Cracking: Towards Robust Adaptive Indexing in Main-Memory Column-Stores |
2012 |
VLDB |
6.9512776e-05 |
| 4,007 |
Automated Generation of Materialized Views in Oracle |
2020 |
VLDB |
6.8592987e-05 |
| 4,116 |
Resource Elasticity for Large-Scale Machine Learning |
2015 |
SIGMOD |
6.7961306e-05 |
| 4,533 |
AdaptDB: Adaptive Partitioning for Distributed Joins |
2017 |
VLDB |
6.5565658e-05 |
| 4,569 |
COLT: Continuous On-Line Database Tuning |
2006 |
SIGMOD |
6.5298888e-05 |
| 4,607 |
Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications |
2009 |
VLDB |
6.5037336e-05 |
| 4,690 |
Columnstore and B+ tree – Are Hybrid Physical Designs Important? |
2018 |
SIGMOD |
6.4687131e-05 |
| 4,711 |
Learned Index Benefits: Machine Learning Based Index Performance Estimation |
2022 |
VLDB |
6.4573842e-05 |
| 5,131 |
Holistic Indexing in Main-memory Column-stores |
2015 |
SIGMOD |
6.2602133e-05 |
| 5,248 |
Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty |
2022 |
VLDB |
6.211056e-05 |
| 5,597 |
StatAdvisor: Recommending Statistical Views |
2009 |
VLDB |
6.0718206e-05 |
| 5,674 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
6.0430252e-05 |
| 5,853 |
Compression Aware Physical Database Design |
2011 |
VLDB |
5.9710387e-05 |
| 6,208 |
Efficient Detection of Empty-Result Queries |
2006 |
VLDB |
5.8497045e-05 |
| 6,636 |
Physical Visualization Design: Decoupling Interface and System Design |
2025 |
SIGMOD |
5.7262507e-05 |
| 6,764 |
Guided automated learning for query workload re-optimization |
2019 |
VLDB |
5.6873334e-05 |
| 6,970 |
Jigsaw: A Data Storage and Query Processing Engine for Irregular Table Partitioning |
2021 |
SIGMOD |
5.6311067e-05 |
| 7,157 |
Sibyl: Forecasting Time-Evolving Query Workloads |
2024 |
SIGMOD |
5.5972283e-05 |
| 7,231 |
QueryScope: Visualizing Queries for Repeatable Database Tuning |
2008 |
VLDB |
5.5793e-05 |
| 7,403 |
Index Advisors on Quantum Platforms |
2024 |
VLDB |
5.5357529e-05 |