| 158 |
Automated Selection of Materialized Views and Indexes for SQL Databases |
2000 |
VLDB |
0.00040071492 |
| 183 |
Automatic Database Management System Tuning Through Large-scale Machine Learning |
2017 |
SIGMOD |
0.00036721403 |
| 258 |
DB2 Design Advisor: Integrated Automatic Physical Database Design |
2004 |
VLDB |
0.0003022091 |
| 286 |
Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design |
2004 |
SIGMOD |
0.00028990057 |
| 359 |
Self-Driving Database Management Systems |
2017 |
CIDR |
0.0002592783 |
| 424 |
Tuning Database Configuration Parameters with iTuned |
2009 |
VLDB |
0.00023616398 |
| 449 |
Approximate Query Processing: Taming the TeraBytes! A Tutorial |
2001 |
VLDB |
0.00022846068 |
| 514 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.0002124895 |
| 661 |
Database Tuning Advisor for Microsoft SQL Server 2005 |
2004 |
VLDB |
0.00018481174 |
| 679 |
Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems |
2012 |
SIGMOD |
0.00018215154 |
| 790 |
Exploiting Statistics on Query Expressions for Optimization |
2002 |
SIGMOD |
0.0001663283 |
| 1,017 |
Automatic Physical Database Tuning: A Relaxation-based Approach |
2005 |
SIGMOD |
0.00014634307 |
| 1,534 |
PerfXplain: Debugging MapReduce Job Performance |
2012 |
VLDB |
0.00011468393 |
| 1,710 |
Microsoft Index Tuning Wizard for SQL Server 7.0 |
1998 |
SIGMOD |
0.00010807871 |
| 1,827 |
An Inquiry into Machine Learning-based Automatic Configuration Tuning Services on Real-World Database Management Systems |
2021 |
VLDB |
0.00010390548 |
| 1,855 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00010315245 |
| 2,047 |
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database |
2019 |
SIGMOD |
9.6920209e-05 |
| 2,307 |
On Predictive Modeling for Optimizing Transaction Execution in Parallel OLTP Systems |
2012 |
VLDB |
9.0599752e-05 |
| 2,413 |
Automated Partitioning Design in Parallel Database Systems |
2011 |
SIGMOD |
8.8672223e-05 |
| 2,733 |
The Case for Data Visualization Management Systems [Vision Paper] |
2014 |
VLDB |
8.2078862e-05 |
| 2,787 |
To Tune or not to Tune? A Lightweight Physical Design Alerter |
2006 |
VLDB |
8.1263608e-05 |
| 3,072 |
Constrained Physical Design Tuning |
2008 |
VLDB |
7.6114086e-05 |
| 3,284 |
Configuration-Parametric Query Optimization for Physical Design Tuning |
2008 |
SIGMOD |
7.2790444e-05 |
| 3,370 |
Storage Workload Estimation for Database Management Systems |
2007 |
SIGMOD |
7.1704153e-05 |
| 3,653 |
Database Tuning Advisor for Microsoft SQL Server 2005: Demo |
2005 |
SIGMOD |
6.8743355e-05 |
| 3,878 |
Data Canopy: Accelerating Exploratory Statistical Analysis |
2017 |
SIGMOD |
6.6731435e-05 |
| 4,152 |
openGauss: An Autonomous Database System |
2021 |
VLDB |
6.4060406e-05 |
| 4,287 |
Primitives for Workload Summarization and Implications for SQL |
2003 |
VLDB |
6.2891702e-05 |
| 4,623 |
Automated Generation of Materialized Views in Oracle |
2020 |
VLDB |
6.0411909e-05 |
| 4,635 |
Mining Precision Interfaces From Query Logs |
2019 |
SIGMOD |
6.033398e-05 |
| 4,864 |
COLT: Continuous On-Line Database Tuning |
2006 |
SIGMOD |
5.8689388e-05 |
| 5,113 |
Columnstore and B+ tree – Are Hybrid Physical Designs Important? |
2018 |
SIGMOD |
5.687445e-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 |
| 5,435 |
Materialized View and Index Selection Tool for Microsoft SQL Server 2000 |
2001 |
SIGMOD |
5.5043441e-05 |
| 5,682 |
Optimal Indexing Using Near-Minimal Space [Extended Abstract] |
2003 |
PODS |
5.372736e-05 |
| 5,686 |
Budget-aware Index Tuning with Reinforcement Learning |
2022 |
SIGMOD |
5.3712312e-05 |
| 5,736 |
Efficient Computation of Multiple Group By Queries |
2005 |
SIGMOD |
5.3482537e-05 |
| 5,742 |
JECB: a Join-Extension, Code-Based Approach to OLTP Data Partitioning |
2014 |
SIGMOD |
5.3450287e-05 |
| 5,924 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
5.2719183e-05 |
| 6,297 |
Towards instance-optimized data systems |
2021 |
VLDB |
5.1227886e-05 |
| 6,328 |
A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies |
2024 |
VLDB |
5.1082882e-05 |
| 6,366 |
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning |
2022 |
SIGMOD |
5.0943443e-05 |
| 6,398 |
Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty |
2022 |
VLDB |
5.0819209e-05 |
| 6,708 |
Just-In-Time Data Structures |
2015 |
CIDR |
4.953106e-05 |
| 7,001 |
Progressive Indexes: Indexing for Interactive Data Analysis |
2019 |
VLDB |
4.8671553e-05 |
| 7,128 |
Jigsaw: A Data Storage and Query Processing Engine for Irregular Table Partitioning |
2021 |
SIGMOD |
4.8230171e-05 |
| 7,336 |
Refactoring Index Tuning Process with Benefit Estimation |
2024 |
VLDB |
4.7599411e-05 |
| 7,603 |
Automated design of multidimensional clustering tables for relational databases |
2004 |
VLDB |
4.6985903e-05 |
| 7,889 |
Cost-Intelligent Data Analytics in the Cloud |
2024 |
CIDR |
4.6253386e-05 |