| 43 |
Models and Issues in Data Stream Systems |
2002 |
PODS |
0.00072723062 |
| 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 |
| 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 |
| 378 |
Towards Estimation Error Guarantees for Distinct Values |
2000 |
PODS |
0.0002497492 |
| 449 |
Approximate Query Processing: Taming the TeraBytes! A Tutorial |
2001 |
VLDB |
0.00022846068 |
| 516 |
AutoAdmin "What-if" Index Analysis Utility |
1998 |
SIGMOD |
0.00021196031 |
| 530 |
Random Sampling for Histogram Construction: How much is enough? |
1998 |
SIGMOD |
0.00020803682 |
| 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 |
| 716 |
Query-based Workload Forecasting for Self-Driving Database Management Systems |
2018 |
SIGMOD |
0.00017723171 |
| 790 |
Exploiting Statistics on Query Expressions for Optimization |
2002 |
SIGMOD |
0.0001663283 |
| 801 |
SageDB: A Learned Database System |
2019 |
CIDR |
0.00016505496 |
| 940 |
SharedDB: Killing One Thousand Queries With One Stone |
2012 |
VLDB |
0.00015173166 |
| 1,017 |
Automatic Physical Database Tuning: A Relaxation-based Approach |
2005 |
SIGMOD |
0.00014634307 |
| 1,260 |
Dynamic Sample Selection for Approximate Query Processing |
2003 |
SIGMOD |
0.00012993347 |
| 1,343 |
NoDB: Efficient Query Execution on Raw Data Files |
2012 |
SIGMOD |
0.00012482538 |
| 1,443 |
Compressing SQL Workloads |
2002 |
SIGMOD |
0.00011947004 |
| 1,478 |
Learning Multi-dimensional Indexes |
2020 |
SIGMOD |
0.00011762542 |
| 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 |
| 1,855 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00010315245 |
| 1,889 |
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads |
2021 |
VLDB |
0.00010200865 |
| 1,902 |
Black or White? How to Develop an AutoTuner for Memory-based Analytics |
2020 |
SIGMOD |
0.00010157713 |
| 1,956 |
D-Bot: Database Diagnosis System using Large Language Models |
2024 |
VLDB |
9.960627e-05 |
| 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 |
| 2,157 |
The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models |
2018 |
SIGMOD |
9.416022e-05 |
| 2,413 |
Automated Partitioning Design in Parallel Database Systems |
2011 |
SIGMOD |
8.8672223e-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 |
| 2,865 |
Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations |
2019 |
SIGMOD |
7.9862595e-05 |
| 3,072 |
Constrained Physical Design Tuning |
2008 |
VLDB |
7.6114086e-05 |
| 3,207 |
Predicting Cost Amortization for Query Services |
2011 |
SIGMOD |
7.3818982e-05 |
| 3,284 |
Configuration-Parametric Query Optimization for Physical Design Tuning |
2008 |
SIGMOD |
7.2790444e-05 |
| 3,348 |
Lero: A Learning-to-Rank Query Optimizer |
2023 |
VLDB |
7.1904529e-05 |
| 3,488 |
Optimal Column Layout for Hybrid Workloads |
2019 |
VLDB |
7.0479329e-05 |
| 3,562 |
MISO: Souping Up Big Data Query Processing with a Multistore System |
2014 |
SIGMOD |
6.9694564e-05 |
| 3,653 |
Database Tuning Advisor for Microsoft SQL Server 2005: Demo |
2005 |
SIGMOD |
6.8743355e-05 |
| 3,789 |
DIAMetrics: Benchmarking Query Engines at Scale |
2020 |
VLDB |
6.7644737e-05 |
| 3,867 |
CORADD: Correlation Aware Database Designer for Materialized Views and Indexes |
2010 |
VLDB |
6.683173e-05 |
| 3,891 |
Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing |
2017 |
VLDB |
6.659442e-05 |
| 3,980 |
Making Updates Disk-I/O Friendly Using SSDs |
2013 |
VLDB |
6.5664429e-05 |
| 4,128 |
Are Updatable Learned Indexes Ready? |
2022 |
VLDB |
6.4292373e-05 |
| 4,161 |
Access Path Selection in Main-Memory Optimized Data Systems: Should I Scan or Should I Probe? |
2017 |
SIGMOD |
6.3938006e-05 |
| 4,240 |
Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation |
2021 |
VLDB |
6.3318228e-05 |
| 4,399 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements |
2022 |
SIGMOD |
6.2225151e-05 |
| 4,433 |
The Case for a Wide-Table Approach to Manage Sparse Relational Data Sets |
2007 |
SIGMOD |
6.1935064e-05 |