| 4,507 |
Stochastic Database Cracking: Towards Robust Adaptive Indexing in Main-Memory Column-Stores |
2012 |
VLDB |
6.1271582e-05 |
| 4,585 |
ST2B-tree: A Self-Tunable Spatio-Temporal B+-tree Index for Moving Objects |
2008 |
SIGMOD |
6.0596467e-05 |
| 4,621 |
Automated Generation of Materialized Views in Oracle |
2020 |
VLDB |
6.036749e-05 |
| 4,863 |
COLT: Continuous On-Line Database Tuning |
2006 |
SIGMOD |
5.8646122e-05 |
| 5,055 |
Index Interactions in Physical Design Tuning: Modeling, Analysis, and Applications |
2009 |
VLDB |
5.72317e-05 |
| 5,114 |
Columnstore and B+ tree – Are Hybrid Physical Designs Important? |
2018 |
SIGMOD |
5.6813929e-05 |
| 5,118 |
Design Tradeoffs of Data Access Methods |
2016 |
SIGMOD |
5.6781464e-05 |
| 5,250 |
One Model to Rule them All: Towards Zero-Shot Learning for Databases |
2022 |
CIDR |
5.6007779e-05 |
| 5,378 |
Holistic Indexing in Main-memory Column-stores |
2015 |
SIGMOD |
5.5379945e-05 |
| 5,421 |
QUIET: Continuous Query-driven Index Tuning |
2003 |
VLDB |
5.5152497e-05 |
| 5,445 |
Materialized View and Index Selection Tool for Microsoft SQL Server 2000 |
2001 |
SIGMOD |
5.499851e-05 |
| 5,673 |
Budget-aware Index Tuning with Reinforcement Learning |
2022 |
SIGMOD |
5.3789277e-05 |
| 5,695 |
Optimal Indexing Using Near-Minimal Space [Extended Abstract] |
2003 |
PODS |
5.3675705e-05 |
| 5,925 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
5.2669029e-05 |
| 5,941 |
Eraser: Eliminating Performance Regression on Learned Query Optimizer |
2024 |
VLDB |
5.2594013e-05 |
| 6,160 |
Compression Aware Physical Database Design |
2011 |
VLDB |
5.1750659e-05 |
| 6,241 |
Helios: Hyperscale Indexing for the Cloud & Edge |
2020 |
VLDB |
5.1357476e-05 |
| 6,298 |
Towards instance-optimized data systems |
2021 |
VLDB |
5.1182917e-05 |
| 6,328 |
A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies |
2024 |
VLDB |
5.1034426e-05 |
| 6,364 |
ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning |
2022 |
SIGMOD |
5.0895007e-05 |
| 6,376 |
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning |
2023 |
SIGMOD |
5.0861082e-05 |
| 6,394 |
Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty |
2022 |
VLDB |
5.0770427e-05 |
| 6,440 |
From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems |
2019 |
SIGMOD |
5.0546781e-05 |
| 6,461 |
Pando: Enhanced Data Skipping with Logical Data Partitioning |
2023 |
VLDB |
5.0479786e-05 |
| 6,753 |
Breaking It Down: An In-depth Study of Index Advisors |
2024 |
VLDB |
4.9345582e-05 |
| 6,883 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
4.8918682e-05 |
| 6,962 |
Replicated Layout for In-Memory Database Systems |
2022 |
VLDB |
4.8771234e-05 |
| 7,000 |
Progressive Indexes: Indexing for Interactive Data Analysis |
2019 |
VLDB |
4.862486e-05 |
| 7,291 |
Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities |
2022 |
SIGMOD |
4.7677422e-05 |
| 7,332 |
Refactoring Index Tuning Process with Benefit Estimation |
2024 |
VLDB |
4.7553758e-05 |
| 7,465 |
Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees |
2025 |
SIGMOD |
4.7186055e-05 |
| 7,494 |
ESDB: Processing Extremely Skewed Workloads in Real-time |
2022 |
SIGMOD |
4.7135369e-05 |
| 8,043 |
DISTILL: Low-Overhead Data-Driven Techniques for Filtering and Costing Indexes for Scalable Index Tuning |
2022 |
VLDB |
4.5954398e-05 |
| 8,198 |
Leveraging Dynamic and Heterogeneous Workload Knowledge to Boost the Performance of Index Advisors |
2024 |
VLDB |
4.556207e-05 |
| 8,268 |
Divergent Physical Design Tuning for Replicated Databases |
2012 |
SIGMOD |
4.5408509e-05 |
| 8,360 |
Query Log Compression for Workload Analytics |
2019 |
VLDB |
4.5314883e-05 |
| 8,387 |
A Storage Advisor for Hybrid-Store Databases |
2012 |
VLDB |
4.5255213e-05 |
| 8,390 |
Goals and Benchmarks for Autonomic Configuration Recommenders |
2005 |
SIGMOD |
4.524666e-05 |
| 8,754 |
Hyperspace: The Indexing Subsystem of Azure Synapse |
2021 |
VLDB |
4.4520434e-05 |
| 9,000 |
Automatic Index Selection for Large-Scale Datalog Computation |
2019 |
VLDB |
4.4087102e-05 |
| 9,012 |
Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems |
2024 |
VLDB |
4.4059413e-05 |
| 9,450 |
Online Optimization and Fair Costing for Dynamic Data Sharing in a Cloud Data Market |
2014 |
SIGMOD |
4.3367172e-05 |
| 9,618 |
A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach |
2025 |
SIGMOD |
4.3131993e-05 |
| 9,818 |
Generating Application-Specific Data Layouts for In-memory Databases |
2019 |
VLDB |
4.2733415e-05 |
| 9,901 |
Robustness of Updatable Learning-based Index Advisors against Poisoning Attack |
2024 |
SIGMOD |
4.2539423e-05 |
| 9,930 |
Wred: Workload Reduction for Scalable Index Tuning |
2024 |
SIGMOD |
4.2469394e-05 |
| 9,931 |
Wii: Dynamic Budget Reallocation In Index Tuning |
2024 |
SIGMOD |
4.2469394e-05 |
| 10,032 |
Rainbow: Risk-aware Index Benefit Estimation Facing Out Of Distribution Workloads |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,125 |
Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,205 |
RIB: Robust Learning-based Index Benefit Estimation |
2026 |
SIGMOD |
4.1905499e-05 |