| 43 |
Models and Issues in Data Stream Systems |
2002 |
PODS |
0.00072660894 |
| 160 |
Automated Selection of Materialized Views and Indexes for SQL Databases |
2000 |
VLDB |
0.00040053897 |
| 183 |
Automatic Database Management System Tuning Through Large-scale Machine Learning |
2017 |
SIGMOD |
0.00036859633 |
| 283 |
Integrating Vertical and Horizontal Partitioning into Automated Physical Database Design |
2004 |
SIGMOD |
0.00029024583 |
| 371 |
Self-Driving Database Management Systems |
2017 |
CIDR |
0.00025382677 |
| 380 |
Towards Estimation Error Guarantees for Distinct Values |
2000 |
PODS |
0.00024943236 |
| 430 |
Approximate Query Processing: Taming the TeraBytes! A Tutorial |
2001 |
VLDB |
0.00023406426 |
| 517 |
AutoAdmin "What-if" Index Analysis Utility |
1998 |
SIGMOD |
0.00021193179 |
| 531 |
Random Sampling for Histogram Construction: How much is enough? |
1998 |
SIGMOD |
0.0002079072 |
| 662 |
Database Tuning Advisor for Microsoft SQL Server 2005 |
2004 |
VLDB |
0.00018478597 |
| 679 |
Skew-Aware Automatic Database Partitioning in Shared-Nothing, Parallel OLTP Systems |
2012 |
SIGMOD |
0.00018211621 |
| 704 |
Query-based Workload Forecasting for Self-Driving Database Management Systems |
2018 |
SIGMOD |
0.00017785557 |
| 786 |
Exploiting Statistics on Query Expressions for Optimization |
2002 |
SIGMOD |
0.00016624743 |
| 796 |
SageDB: A Learned Database System |
2019 |
CIDR |
0.00016541749 |
| 934 |
SharedDB: Killing One Thousand Queries With One Stone |
2012 |
VLDB |
0.00015201246 |
| 1,018 |
Automatic Physical Database Tuning: A Relaxation-based Approach |
2005 |
SIGMOD |
0.00014626746 |
| 1,257 |
Dynamic Sample Selection for Approximate Query Processing |
2003 |
SIGMOD |
0.00013002384 |
| 1,346 |
NoDB: Efficient Query Execution on Raw Data Files |
2012 |
SIGMOD |
0.00012472598 |
| 1,443 |
Compressing SQL Workloads |
2002 |
SIGMOD |
0.00011944621 |
| 1,464 |
Learning Multi-dimensional Indexes |
2020 |
SIGMOD |
0.0001184772 |
| 1,533 |
PerfXplain: Debugging MapReduce Job Performance |
2012 |
VLDB |
0.00011462982 |
| 1,709 |
Microsoft Index Tuning Wizard for SQL Server 7.0 |
1998 |
SIGMOD |
0.00010799651 |
| 1,856 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00010319105 |
| 1,887 |
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads |
2021 |
VLDB |
0.00010201938 |
| 1,892 |
Black or White? How to Develop an AutoTuner for Memory-based Analytics |
2020 |
SIGMOD |
0.00010176219 |
| 1,953 |
D-Bot: Database Diagnosis System using Large Language Models |
2024 |
VLDB |
9.9701097e-05 |
| 2,022 |
Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms |
2020 |
VLDB |
9.7623022e-05 |
| 2,050 |
Automatically Indexing Millions of Databases in Microsoft Azure SQL Database |
2019 |
SIGMOD |
9.6883066e-05 |
| 2,153 |
The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models |
2018 |
SIGMOD |
9.418541e-05 |
| 2,410 |
Automated Partitioning Design in Parallel Database Systems |
2011 |
SIGMOD |
8.8643562e-05 |
| 2,479 |
Efficient Use of the Query Optimizer for Automated Physical Design |
2007 |
VLDB |
8.6836615e-05 |
| 2,788 |
To Tune or not to Tune? A Lightweight Physical Design Alerter |
2006 |
VLDB |
8.121027e-05 |
| 2,834 |
Automatic Physical Design Tuning: Workload as a Sequence |
2006 |
SIGMOD |
8.0468556e-05 |
| 2,868 |
Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations |
2019 |
SIGMOD |
7.9856878e-05 |
| 3,077 |
Constrained Physical Design Tuning |
2008 |
VLDB |
7.6043371e-05 |
| 3,213 |
Predicting Cost Amortization for Query Services |
2011 |
SIGMOD |
7.3749055e-05 |
| 3,276 |
Configuration-Parametric Query Optimization for Physical Design Tuning |
2008 |
SIGMOD |
7.2880761e-05 |
| 3,345 |
Lero: A Learning-to-Rank Query Optimizer |
2023 |
VLDB |
7.1908499e-05 |
| 3,482 |
Optimal Column Layout for Hybrid Workloads |
2019 |
VLDB |
7.0514808e-05 |
| 3,565 |
MISO: Souping Up Big Data Query Processing with a Multistore System |
2014 |
SIGMOD |
6.9627613e-05 |
| 3,661 |
Database Tuning Advisor for Microsoft SQL Server 2005: Demo |
2005 |
SIGMOD |
6.8680306e-05 |
| 3,750 |
DIAMetrics: Benchmarking Query Engines at Scale |
2020 |
VLDB |
6.7864305e-05 |
| 3,868 |
CORADD: Correlation Aware Database Designer for Materialized Views and Indexes |
2010 |
VLDB |
6.6786821e-05 |
| 3,893 |
Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing |
2017 |
VLDB |
6.653922e-05 |
| 3,979 |
Making Updates Disk-I/O Friendly Using SSDs |
2013 |
VLDB |
6.5641036e-05 |
| 4,056 |
Are Updatable Learned Indexes Ready? |
2022 |
VLDB |
6.4905689e-05 |
| 4,160 |
Access Path Selection in Main-Memory Optimized Data Systems: Should I Scan or Should I Probe? |
2017 |
SIGMOD |
6.3886736e-05 |
| 4,216 |
Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation |
2021 |
VLDB |
6.3448176e-05 |
| 4,377 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements |
2022 |
SIGMOD |
6.2331947e-05 |
| 4,427 |
The Case for a Wide-Table Approach to Manage Sparse Relational Data Sets |
2007 |
SIGMOD |
6.1886396e-05 |