| 359 |
Self-Driving Database Management Systems |
2017 |
CIDR |
0.0002592783 |
| 514 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.0002124895 |
| 663 |
Adaptive Self-Tuning Memory in DB2 |
2006 |
VLDB |
0.00018469455 |
| 679 |
Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems |
2012 |
SIGMOD |
0.00018215154 |
| 757 |
Database Architecture Evolution: Mammals Flourished long before Dinosaurs became Extinct |
2009 |
VLDB |
0.00017078358 |
| 1,017 |
Automatic Physical Database Tuning: A Relaxation-based Approach |
2005 |
SIGMOD |
0.00014634307 |
| 1,343 |
NoDB: Efficient Query Execution on Raw Data Files |
2012 |
SIGMOD |
0.00012482538 |
| 1,611 |
Qd-tree: Learning Data Layouts for Big Data Analytics |
2020 |
SIGMOD |
0.00011147324 |
| 1,855 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00010315245 |
| 2,020 |
Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms |
2020 |
VLDB |
9.762624e-05 |
| 2,047 |
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database |
2019 |
SIGMOD |
9.6920209e-05 |
| 2,229 |
Self-organizing Tuple Reconstruction in Column-stores |
2009 |
SIGMOD |
9.2350274e-05 |
| 2,367 |
Here are my Data Files. Here are my Queries. Where are my Results? |
2011 |
CIDR |
8.9511058e-05 |
| 2,413 |
Automated Partitioning Design in Parallel Database Systems |
2011 |
SIGMOD |
8.8672223e-05 |
| 2,470 |
CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads |
2011 |
VLDB |
8.7333019e-05 |
| 2,484 |
Efficient Use of the Query Optimizer for Automated Physical Design |
2007 |
VLDB |
8.6864279e-05 |
| 2,787 |
To Tune or not to Tune? A Lightweight Physical Design Alerter |
2006 |
VLDB |
8.1263608e-05 |
| 2,828 |
Automatic Physical Design Tuning: Workload as a Sequence |
2006 |
SIGMOD |
8.0548516e-05 |
| 3,072 |
Constrained Physical Design Tuning |
2008 |
VLDB |
7.6114086e-05 |
| 3,076 |
Learning a Partitioning Advisor for Cloud Databases |
2020 |
SIGMOD |
7.6107677e-05 |
| 3,142 |
Active Learning for ML Enhanced Database Systems |
2020 |
SIGMOD |
7.4815444e-05 |
| 3,169 |
QueryFormer: A Tree Transformer Model for Query Plan Representation |
2022 |
VLDB |
7.4498425e-05 |
| 3,284 |
Configuration-Parametric Query Optimization for Physical Design Tuning |
2008 |
SIGMOD |
7.2790444e-05 |
| 3,488 |
Optimal Column Layout for Hybrid Workloads |
2019 |
VLDB |
7.0479329e-05 |
| 3,891 |
Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing |
2017 |
VLDB |
6.659442e-05 |
| 3,896 |
Updating a Cracked Database |
2007 |
SIGMOD |
6.6575888e-05 |
| 3,905 |
Native Store Extension for SAP HANA |
2019 |
VLDB |
6.6408563e-05 |
| 3,952 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
6.5939652e-05 |
| 3,973 |
Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing |
2019 |
SIGMOD |
6.5758017e-05 |
| 4,240 |
Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation |
2021 |
VLDB |
6.3318228e-05 |
| 4,506 |
Stochastic Database Cracking: Towards Robust Adaptive Indexing in Main-Memory Column-Stores |
2012 |
VLDB |
6.1319277e-05 |
| 4,623 |
Automated Generation of Materialized Views in Oracle |
2020 |
VLDB |
6.0411909e-05 |
| 4,802 |
Resource Elasticity for Large-Scale Machine Learning |
2015 |
SIGMOD |
5.9114415e-05 |
| 4,864 |
COLT: Continuous On-Line Database Tuning |
2006 |
SIGMOD |
5.8689388e-05 |
| 5,060 |
Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications |
2009 |
VLDB |
5.7273583e-05 |
| 5,113 |
Columnstore and B+ tree – Are Hybrid Physical Designs Important? |
2018 |
SIGMOD |
5.687445e-05 |
| 5,118 |
AdaptDB: Adaptive Partitioning for Distributed Joins |
2017 |
VLDB |
5.6820984e-05 |
| 5,337 |
Learned Index Benefits: Machine Learning Based Index Performance Estimation |
2022 |
VLDB |
5.5635208e-05 |
| 5,376 |
Holistic Indexing in Main-memory Column-stores |
2015 |
SIGMOD |
5.5417421e-05 |
| 5,815 |
StatAdvisor: Recommending Statistical Views |
2009 |
VLDB |
5.3165295e-05 |
| 5,834 |
Efficient Detection of Empty-Result Queries |
2006 |
VLDB |
5.3103189e-05 |
| 5,924 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
5.2719183e-05 |
| 6,157 |
Compression Aware Physical Database Design |
2011 |
VLDB |
5.1801143e-05 |
| 6,398 |
Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty |
2022 |
VLDB |
5.0819209e-05 |
| 7,010 |
QueryScope: Visualizing Queries for Repeatable Database Tuning |
2008 |
VLDB |
4.8634875e-05 |
| 7,127 |
Guided automated learning for query workload re-optimization |
2019 |
VLDB |
4.8230386e-05 |
| 7,128 |
Jigsaw: A Data Storage and Query Processing Engine for Irregular Table Partitioning |
2021 |
SIGMOD |
4.8230171e-05 |
| 7,445 |
An Automated, Yet Interactive and Portable DB Designer |
2010 |
SIGMOD |
4.7278675e-05 |
| 7,603 |
Automated design of multidimensional clustering tables for relational databases |
2004 |
VLDB |
4.6985903e-05 |
| 8,131 |
Sibyl: Forecasting Time-Evolving Query Workloads |
2024 |
SIGMOD |
4.5784634e-05 |