| 224 |
Self-Driving Database Management Systems |
2017 |
CIDR |
0.00024011047 |
| 314 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.00021276452 |
| 473 |
Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems |
2012 |
SIGMOD |
0.00017684278 |
| 508 |
Adaptive Self-Tuning Memory in DB2 |
2006 |
VLDB |
0.00017083245 |
| 702 |
Database Architecture Evolution: Mammals Flourished long before Dinosaurs became Extinct |
2009 |
VLDB |
0.00014668058 |
| 751 |
Automatic Physical Database Tuning: A Relaxation-based Approach |
2005 |
SIGMOD |
0.00014251362 |
| 1,070 |
NoDB: Efficient Query Execution on Raw Data Files |
2012 |
SIGMOD |
0.00012179575 |
| 1,128 |
Qd-tree: Learning Data Layouts for Big Data Analytics |
2020 |
SIGMOD |
0.00011901941 |
| 1,280 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00011224914 |
| 1,396 |
Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms |
2020 |
VLDB |
0.00010788714 |
| 1,516 |
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database |
2019 |
SIGMOD |
0.00010398346 |
| 1,693 |
Self-organizing Tuple Reconstruction in Column-stores |
2009 |
SIGMOD |
9.8522869e-05 |
| 1,815 |
CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads |
2011 |
VLDB |
9.5756946e-05 |
| 1,884 |
Automated Partitioning Design in Parallel Database Systems |
2011 |
SIGMOD |
9.4349703e-05 |
| 1,927 |
Here are my Data Files. Here are my Queries. Where are my Results? |
2011 |
CIDR |
9.362697e-05 |
| 2,025 |
Efficient Use of the Query Optimizer for Automated Physical Design |
2007 |
VLDB |
9.1650298e-05 |
| 2,248 |
QueryFormer: A Tree Transformer Model for Query Plan Representation |
2022 |
VLDB |
8.7567205e-05 |
| 2,278 |
Active Learning for ML Enhanced Database Systems |
2020 |
SIGMOD |
8.7057608e-05 |
| 2,374 |
To Tune or not to Tune? A Lightweight Physical Design Alerter |
2006 |
VLDB |
8.5570131e-05 |
| 2,476 |
Learning a Partitioning Advisor for Cloud Databases |
2020 |
SIGMOD |
8.407183e-05 |
| 2,776 |
Automatic Physical Design Tuning: Workload as a Sequence |
2006 |
SIGMOD |
8.0278951e-05 |
| 2,856 |
Constrained Physical Design Tuning |
2008 |
VLDB |
7.934373e-05 |
| 2,880 |
Optimal Column Layout for Hybrid Workloads |
2019 |
VLDB |
7.9118308e-05 |
| 3,041 |
Configuration-Parametric Query Optimization for Physical Design Tuning |
2008 |
SIGMOD |
7.718081e-05 |
| 3,362 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
7.3719912e-05 |
| 3,404 |
Native Store Extension for SAP HANA |
2019 |
VLDB |
7.3257341e-05 |
| 3,445 |
Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing |
2017 |
VLDB |
7.2911896e-05 |
| 3,446 |
Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing |
2019 |
SIGMOD |
7.2908619e-05 |
| 3,588 |
Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation |
2021 |
VLDB |
7.1841858e-05 |
| 3,606 |
Updating a Cracked Database |
2007 |
SIGMOD |
7.1653182e-05 |
| 3,879 |
Stochastic Database Cracking: Towards Robust Adaptive Indexing in Main-Memory Column-Stores |
2012 |
VLDB |
6.9481594e-05 |
| 4,007 |
Automated Generation of Materialized Views in Oracle |
2020 |
VLDB |
6.8561069e-05 |
| 4,117 |
Resource Elasticity for Large-Scale Machine Learning |
2015 |
SIGMOD |
6.7929814e-05 |
| 4,534 |
AdaptDB: Adaptive Partitioning for Distributed Joins |
2017 |
VLDB |
6.5535468e-05 |
| 4,571 |
COLT: Continuous On-Line Database Tuning |
2006 |
SIGMOD |
6.5269069e-05 |
| 4,609 |
Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications |
2009 |
VLDB |
6.5007715e-05 |
| 4,692 |
Columnstore and B+ tree – Are Hybrid Physical Designs Important? |
2018 |
SIGMOD |
6.4656516e-05 |
| 4,713 |
Learned Index Benefits: Machine Learning Based Index Performance Estimation |
2022 |
VLDB |
6.4543291e-05 |
| 5,134 |
Holistic Indexing in Main-memory Column-stores |
2015 |
SIGMOD |
6.2573427e-05 |
| 5,250 |
Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty |
2022 |
VLDB |
6.2092552e-05 |
| 5,598 |
StatAdvisor: Recommending Statistical Views |
2009 |
VLDB |
6.0690976e-05 |
| 5,675 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
6.0401656e-05 |
| 5,856 |
Compression Aware Physical Database Design |
2011 |
VLDB |
5.9682143e-05 |
| 6,212 |
Efficient Detection of Empty-Result Queries |
2006 |
VLDB |
5.8469404e-05 |
| 6,640 |
Physical Visualization Design: Decoupling Interface and System Design |
2025 |
SIGMOD |
5.72354e-05 |
| 6,763 |
Guided automated learning for query workload re-optimization |
2019 |
VLDB |
5.6870172e-05 |
| 6,971 |
Jigsaw: A Data Storage and Query Processing Engine for Irregular Table Partitioning |
2021 |
SIGMOD |
5.628441e-05 |
| 7,160 |
Sibyl: Forecasting Time-Evolving Query Workloads |
2024 |
SIGMOD |
5.5945786e-05 |
| 7,233 |
QueryScope: Visualizing Queries for Repeatable Database Tuning |
2008 |
VLDB |
5.5766914e-05 |
| 7,406 |
Index Advisors on Quantum Platforms |
2024 |
VLDB |
5.5331324e-05 |