| 8,854 |
Avoiding Read Stalls on Flash Storage |
2022 |
SIGMOD |
5.264098e-05 |
| 8,872 |
Tiresias: Enabling Predictive Autonomous Storage and Indexing |
2022 |
VLDB |
5.2584643e-05 |
| 8,883 |
Your Read is Our Priority in Flash Storage |
2022 |
VLDB |
5.2563247e-05 |
| 8,947 |
Machine Unlearning in Learned Databases: An Experimental Analysis |
2024 |
SIGMOD |
5.2532248e-05 |
| 9,012 |
ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation |
2024 |
SIGMOD |
5.2375369e-05 |
| 9,023 |
Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment |
2025 |
SIGMOD |
5.2348677e-05 |
| 9,115 |
Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes |
2023 |
VLDB |
5.2271833e-05 |
| 9,133 |
Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems |
2024 |
VLDB |
5.2229655e-05 |
| 9,136 |
DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search |
2026 |
SIGMOD |
5.2224279e-05 |
| 9,161 |
Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning |
2023 |
SIGMOD |
5.2154395e-05 |
| 9,180 |
Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems |
2025 |
VLDB |
5.2120789e-05 |
| 9,222 |
SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation |
2026 |
VLDB |
5.2056825e-05 |
| 9,350 |
Automatic SQL Error Mitigation in Oracle |
2023 |
VLDB |
5.1891342e-05 |
| 9,431 |
MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud |
2024 |
VLDB |
5.1783663e-05 |
| 9,620 |
Db2une: Tuning Under Pressure via Deep Learning |
2024 |
VLDB |
5.1501614e-05 |
| 9,706 |
Database Gyms |
2023 |
CIDR |
5.1376763e-05 |
| 9,904 |
AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning |
2026 |
SIGMOD |
5.1103839e-05 |
| 9,919 |
Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System |
2022 |
VLDB |
5.1103839e-05 |
| 9,956 |
Graph Transformers for Query Plan Representation: Potentials and Challenges |
2025 |
VLDB |
5.1038322e-05 |
| 10,084 |
ContTune: Continuous Tuning by Conservative Bayesian Optimization for Distributed Stream Data Processing Systems |
2023 |
VLDB |
5.0830849e-05 |
| 10,088 |
UDAO: A Next-Generation Unified Data Analytics Optimizer |
2019 |
VLDB |
5.0830849e-05 |
| 10,183 |
DumpKV: Learning based lifetime aware garbage collection for key value separation in LSM-tree |
2025 |
VLDB |
5.0651993e-05 |
| 10,217 |
DBMS Fitting: Why should we learn what we already know? |
2020 |
CIDR |
5.0582281e-05 |
| 10,285 |
Towards Full Stack Adaptivity in Permissioned Blockchains |
2024 |
VLDB |
5.0448662e-05 |
| 10,290 |
This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch! |
2026 |
SIGMOD |
5.0431863e-05 |
| 10,291 |
Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents |
2026 |
VLDB |
5.0431863e-05 |
| 10,333 |
SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression |
2025 |
VLDB |
5.0281656e-05 |
| 10,466 |
HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,580 |
MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,641 |
ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning |
2026 |
SIGMOD |
4.9793485e-05 |
| 10,729 |
Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink |
2026 |
VLDB |
4.9793485e-05 |
| 10,741 |
OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning |
2026 |
VLDB |
4.9793485e-05 |
| 10,747 |
LakeHelm: Zero-Shot Lakehouse Advisor for Joint Engine-Format Selection and Configuration |
2026 |
VLDB |
4.9793485e-05 |
| 10,759 |
Compass: SLO-aware Query Planner for Compound AI Serving at Scale |
2026 |
VLDB |
4.9793485e-05 |
| 10,798 |
NeurIDA: Dynamic Modeling for Effective In-Database Analytics |
2026 |
VLDB |
4.9793485e-05 |
| 10,856 |
How Much Can RocksDB Chew? Achieving Near-Zero Write Stalls with Sustainable RocksDB |
2026 |
VLDB |
4.9793485e-05 |
| 10,887 |
MFTune: An Efficient Multi-fidelity Framework for Spark SQL Configuration Tuning |
2026 |
VLDB |
4.9793485e-05 |
| 10,908 |
DBAgent: An RL-Based Agent for Autonomous Database Operations and Maintenance |
2026 |
VLDB |
4.9793485e-05 |
| 10,912 |
Tuning the Lookahead Distance for PostgreSQL Asynchronous IO |
2026 |
VLDB |
4.9793485e-05 |
| 10,918 |
Evaluating the Practical Effectiveness of LLM-Driven Index Tuning on Microsoft SQL Server |
2026 |
VLDB |
4.9793485e-05 |
| 11,046 |
DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning |
2026 |
VLDB |
4.9793485e-05 |
| 11,072 |
Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction |
2026 |
VLDB |
4.9793485e-05 |
| 11,077 |
Generic Version Control: Configurable Versioning for Application-Specific Requirements |
2025 |
CIDR |
4.9793485e-05 |
| 11,103 |
Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions |
2025 |
SIGMOD |
4.9793485e-05 |
| 11,139 |
Automated Database Tuning vs. Human-Based Tuning in a Simulated Stressful Work Environment: A Demonstration of the Database Gym |
2025 |
SIGMOD |
4.9793485e-05 |
| 11,207 |
High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration |
2025 |
SIGMOD |
4.9793485e-05 |
| 11,287 |
AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines |
2025 |
VLDB |
4.9793485e-05 |
| 11,430 |
AXE: A Task Decomposition Approach to Learned LSM Tuning |
2025 |
VLDB |
4.9793485e-05 |
| 11,433 |
CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics |
2025 |
VLDB |
4.9793485e-05 |
| 11,447 |
LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases |
2025 |
VLDB |
4.9793485e-05 |