| 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 |
| 237 |
An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server |
1997 |
VLDB |
0.00031726304 |
| 258 |
DB2 Design Advisor: Integrated Automatic Physical Database Design |
2004 |
VLDB |
0.0003022091 |
| 359 |
Self-Driving Database Management Systems |
2017 |
CIDR |
0.0002592783 |
| 408 |
Database Cracking |
2007 |
CIDR |
0.00023953844 |
| 496 |
Automatic SQL Tuning in Oracle 10g |
2004 |
VLDB |
0.00021728655 |
| 516 |
AutoAdmin "What-if" Index Analysis Utility |
1998 |
SIGMOD |
0.00021196031 |
| 569 |
Optimizing Space Amplification in RocksDB |
2017 |
CIDR |
0.00019924098 |
| 609 |
Monkey: Optimal Navigable Key-Value Store |
2017 |
SIGMOD |
0.0001923446 |
| 661 |
Database Tuning Advisor for Microsoft SQL Server 2005 |
2004 |
VLDB |
0.00018481174 |
| 716 |
Query-based Workload Forecasting for Self-Driving Database Management Systems |
2018 |
SIGMOD |
0.00017723171 |
| 1,169 |
SuRF: Practical Range Query Filtering with Fast Succinct Tries |
2018 |
SIGMOD |
0.00013536447 |
| 1,311 |
Dostoevsky: Better Space-Time Trade-Offs for LSM-Tree Based Key-Value Stores via Adaptive Removal of Superfluous Merging |
2018 |
SIGMOD |
0.00012657439 |
| 1,366 |
SlimDB: A Space-Efficient Key-Value Storage Engine For Semi-Sorted Data |
2017 |
VLDB |
0.00012357685 |
| 1,438 |
AsterixDB: A Scalable, Open Source BDMS |
2014 |
VLDB |
0.00011973592 |
| 1,477 |
Fine-grained Partitioning for Aggressive Data Skipping |
2014 |
SIGMOD |
0.00011770865 |
| 1,792 |
Hybrid Transactional/Analytical Processing: A Survey |
2017 |
SIGMOD |
0.00010537893 |
| 2,004 |
X-Engine: An Optimized Storage Engine for Large-scale E-commerce Transaction Processing |
2019 |
SIGMOD |
9.811707e-05 |
| 2,109 |
The Log-Structured Merge-Bush & the Wacky Continuum |
2019 |
SIGMOD |
9.5318694e-05 |
| 2,157 |
The Data Calculator*: Data Structure Design and Cost Synthesis from First Principles and Learned Cost Models |
2018 |
SIGMOD |
9.416022e-05 |
| 2,470 |
CoPhy: A Scalable, Portable, and Interactive Index Advisor for Large Workloads |
2011 |
VLDB |
8.7333019e-05 |
| 2,606 |
Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn |
2019 |
CIDR |
8.4645832e-05 |
| 2,787 |
To Tune or not to Tune? A Lightweight Physical Design Alerter |
2006 |
VLDB |
8.1263608e-05 |
| 3,005 |
Clay: Fine-Grained Adaptive Partitioning for General Database Schemas |
2017 |
VLDB |
7.7303579e-05 |
| 3,386 |
Lethe: A Tunable Delete-Aware LSM Engine |
2020 |
SIGMOD |
7.1577103e-05 |
| 3,488 |
Optimal Column Layout for Hybrid Workloads |
2019 |
VLDB |
7.0479329e-05 |
| 3,538 |
Database Tuning: principles, experiments, and troubleshooting techniques |
2002 |
SIGMOD |
6.995825e-05 |
| 3,544 |
Rosetta: A Robust Space-Time Optimized Range Filter for Key-Value Stores |
2020 |
SIGMOD |
6.9898874e-05 |
| 3,564 |
Accordion: Better Memory Organization for LSM Key-Value Stores |
2018 |
VLDB |
6.9669032e-05 |
| 3,737 |
Skipping-oriented Partitioning for Columnar Layouts |
2017 |
VLDB |
6.8033227e-05 |
| 3,793 |
Constructing and Analyzing the LSM Compaction Design Space |
2021 |
VLDB |
6.7617833e-05 |
| 4,588 |
Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines |
2020 |
VLDB |
6.0655418e-05 |
| 4,864 |
COLT: Continuous On-Line Database Tuning |
2006 |
SIGMOD |
5.8689388e-05 |
| 4,914 |
On Performance Stability in LSM-based Storage Systems |
2020 |
VLDB |
5.8315684e-05 |
| 5,535 |
Lightweight Cardinality Estimation in LSM-based Systems |
2018 |
SIGMOD |
5.4539235e-05 |
| 5,581 |
CliffGuard: A Principled Framework for Finding Robust Database Designs |
2015 |
SIGMOD |
5.424205e-05 |
| 6,231 |
An LSM-based Tuple Compaction Framework for Apache AsterixDB |
2020 |
VLDB |
5.1457863e-05 |
| 6,433 |
Self-Managing Technology in Database Management Systems |
2004 |
VLDB |
5.0642403e-05 |
| 6,456 |
From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems |
2019 |
SIGMOD |
5.0564619e-05 |
| 7,218 |
Breaking Down Memory Walls in LSM-based Storage Systems |
2020 |
SIGMOD |
4.7982543e-05 |
| 9,893 |
Foundations of Automated Database Tuning |
2005 |
SIGMOD |
4.2612967e-05 |