| 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 |
| 4,683 |
ST2B-tree: A Self-Tunable Spatio-Temporal B+-tree Index for Moving Objects |
2008 |
SIGMOD |
6.0010961e-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 |
| 5,119 |
Design Tradeoffs of Data Access Methods |
2016 |
SIGMOD |
5.6807904e-05 |
| 5,258 |
One Model to Rule them All: Towards Zero-Shot Learning for Databases |
2022 |
CIDR |
5.5998705e-05 |
| 5,376 |
Holistic Indexing in Main-memory Column-stores |
2015 |
SIGMOD |
5.5417421e-05 |
| 5,413 |
QUIET: Continuous Query-driven Index Tuning |
2003 |
VLDB |
5.5203159e-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 |
| 5,924 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
5.2719183e-05 |
| 5,952 |
Eraser: Eliminating Performance Regression on Learned Query Optimizer |
2024 |
VLDB |
5.2591691e-05 |
| 6,157 |
Compression Aware Physical Database Design |
2011 |
VLDB |
5.1801143e-05 |
| 6,242 |
Helios: Hyperscale Indexing for the Cloud & Edge |
2020 |
VLDB |
5.1408379e-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 |
| 6,379 |
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning |
2023 |
SIGMOD |
5.0909479e-05 |
| 6,398 |
Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty |
2022 |
VLDB |
5.0819209e-05 |
| 6,456 |
From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems |
2019 |
SIGMOD |
5.0564619e-05 |
| 6,466 |
Pando: Enhanced Data Skipping with Logical Data Partitioning |
2023 |
VLDB |
5.0528281e-05 |
| 6,750 |
Breaking It Down: An In-depth Study of Index Advisors |
2024 |
VLDB |
4.9392771e-05 |
| 6,885 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
4.895386e-05 |
| 6,984 |
Replicated Layout for In-Memory Database Systems |
2022 |
VLDB |
4.873081e-05 |
| 7,001 |
Progressive Indexes: Indexing for Interactive Data Analysis |
2019 |
VLDB |
4.8671553e-05 |
| 7,296 |
Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities |
2022 |
SIGMOD |
4.7723197e-05 |
| 7,336 |
Refactoring Index Tuning Process with Benefit Estimation |
2024 |
VLDB |
4.7599411e-05 |
| 7,467 |
Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees |
2025 |
SIGMOD |
4.7218691e-05 |
| 7,495 |
ESDB: Processing Extremely Skewed Workloads in Real-time |
2022 |
SIGMOD |
4.7180617e-05 |
| 8,041 |
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning |
2022 |
VLDB |
4.5998045e-05 |
| 8,199 |
Leveraging Dynamic and Heterogeneous Workload Knowledge to Boost the Performance of Index Advisors |
2024 |
VLDB |
4.5605795e-05 |
| 8,272 |
Divergent Physical Design Tuning for Replicated Databases |
2012 |
SIGMOD |
4.5452316e-05 |
| 8,364 |
Query Log Compression for Workload Analytics |
2019 |
VLDB |
4.5357797e-05 |
| 8,389 |
A Storage Advisor for Hybrid-Store Databases |
2012 |
VLDB |
4.5296588e-05 |
| 8,391 |
Goals and Benchmarks for Autonomic Configuration Recommenders |
2005 |
SIGMOD |
4.5287897e-05 |
| 8,758 |
Hyperspace: The Indexing Subsystem of Azure Synapse |
2021 |
VLDB |
4.456315e-05 |
| 8,994 |
Automatic Index Selection for Large-Scale Datalog Computation |
2019 |
VLDB |
4.4129398e-05 |
| 9,006 |
Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems |
2024 |
VLDB |
4.4101482e-05 |
| 9,444 |
Online Optimization and Fair Costing for Dynamic Data Sharing in a Cloud Data Market |
2014 |
SIGMOD |
4.3408772e-05 |
| 9,618 |
A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach |
2025 |
SIGMOD |
4.3173366e-05 |
| 9,819 |
Generating Application-Specific Data Layouts for In-memory Databases |
2019 |
VLDB |
4.2774401e-05 |
| 9,902 |
Robustness of Updatable Learning-based Index Advisors against Poisoning Attack |
2024 |
SIGMOD |
4.258022e-05 |
| 9,929 |
Wred: Workload Reduction for Scalable Index Tuning |
2024 |
SIGMOD |
4.2510122e-05 |
| 9,930 |
Wii: Dynamic Budget Reallocation In Index Tuning |
2024 |
SIGMOD |
4.2510122e-05 |
| 10,032 |
Rainbow: Risk-aware Index Benefit Estimation Facing Out Of Distribution Workloads |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,125 |
Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,205 |
RIB: Robust Learning-based Index Benefit Estimation |
2026 |
SIGMOD |
4.1945683e-05 |