| 7,498 |
Dendrite: Bolt-on Adaptivity for Data Systems |
2021 |
SIGMOD |
4.7180617e-05 |
| 7,620 |
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads |
2023 |
SIGMOD |
4.693568e-05 |
| 7,631 |
A Progress Report on DBOS: A Database-oriented Operating System |
2022 |
CIDR |
4.6917915e-05 |
| 7,683 |
TDSQL: Tencent Distributed Database System |
2024 |
VLDB |
4.6799361e-05 |
| 7,778 |
Runtime Variation in Big Data Analytics |
2023 |
SIGMOD |
4.653651e-05 |
| 7,828 |
Modeling Shifting Workloads for Learned Database Systems |
2024 |
SIGMOD |
4.6407986e-05 |
| 8,009 |
CAMAL: Optimizing LSM-trees via Active Learning |
2024 |
SIGMOD |
4.6066863e-05 |
| 8,020 |
The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions |
2024 |
VLDB |
4.6040862e-05 |
| 8,082 |
Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems |
2022 |
SIGMOD |
4.5905454e-05 |
| 8,095 |
GaussDB: A Cloud-Native Multi-Primary Database with Compute-Memory-Storage Disaggregation |
2024 |
VLDB |
4.5865778e-05 |
| 8,097 |
When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations |
2023 |
VLDB |
4.5860503e-05 |
| 8,186 |
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model |
2025 |
VLDB |
4.5651684e-05 |
| 8,346 |
Deep Learning: Systems and Responsibility |
2021 |
SIGMOD |
4.5420668e-05 |
| 8,458 |
Demonstrating DB-BERT: A Database Tuning Tool that "Reads" the Manual |
2022 |
SIGMOD |
4.5066722e-05 |
| 8,615 |
The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that "Read the Manual" |
2021 |
VLDB |
4.484683e-05 |
| 8,617 |
A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning |
2024 |
VLDB |
4.4846425e-05 |
| 8,834 |
ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation |
2024 |
SIGMOD |
4.4394021e-05 |
| 8,896 |
SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation |
2026 |
VLDB |
4.427232e-05 |
| 9,190 |
MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud |
2024 |
VLDB |
4.3768215e-05 |
| 9,352 |
Db2une: Tuning Under Pressure via Deep Learning |
2024 |
VLDB |
4.3522361e-05 |
| 9,605 |
Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System |
2022 |
VLDB |
4.3177432e-05 |
| 9,618 |
A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach |
2025 |
SIGMOD |
4.3173366e-05 |
| 9,621 |
ShadowAQP: Efficient Approximate Group-by and Join Query via Attribute-oriented Sample Size Allocation and Data Generation |
2023 |
VLDB |
4.3167167e-05 |
| 9,852 |
Machine Unlearning in Learned Databases: An Experimental Analysis |
2024 |
SIGMOD |
4.2714575e-05 |
| 9,892 |
DBMS Fitting: Why should we learn what we already know? |
2020 |
CIDR |
4.261445e-05 |
| 9,917 |
Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes |
2023 |
VLDB |
4.2561557e-05 |
| 9,956 |
SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression |
2025 |
VLDB |
4.2373024e-05 |
| 10,031 |
PGTuner: An Efficient Framework for Automatic and Transferable Configuration Tuning of Proximity Graphs |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,093 |
MCTuner: Spatial Decomposition-Enhanced Database Tuning via LLM-Guided Exploration |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,164 |
ESTune: Bayesian Uncertainty-Guided Early Stopping for Database Configuration Tuning |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,217 |
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 |
4.1945683e-05 |
| 10,247 |
Why Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents |
2026 |
VLDB |
4.1945683e-05 |
| 10,259 |
Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink |
2026 |
VLDB |
4.1945683e-05 |
| 10,328 |
Libra: One-Shot Parameter Sensitivity Estimation for Transfer Learning in Database Performance Prediction |
2026 |
VLDB |
4.1945683e-05 |
| 10,370 |
Centrum: Model-based Database Auto-tuning with Minimal Distributional Assumptions |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,414 |
Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,418 |
TXSQL: Lock Optimizations Towards High Contented Workloads |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,518 |
High-Throughput Ingestion for Video Warehouse: Comprehensive Configuration and Effective Exploration |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,633 |
AQETuner: Reliable Query-level Configuration Tuning for Analytical Query Engines |
2025 |
VLDB |
4.1945683e-05 |
| 10,668 |
Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems |
2025 |
VLDB |
4.1945683e-05 |
| 10,849 |
AXE: A Task Decomposition Approach to Learned LSM Tuning |
2025 |
VLDB |
4.1945683e-05 |
| 10,872 |
LASER: Buffer-Aware Learned Query Scheduling in Master-Standby Databases |
2025 |
VLDB |
4.1945683e-05 |
| 10,944 |
Predictive and Near-Optimal Sampling for View Materialization in Video Databases |
2024 |
SIGMOD |
4.1945683e-05 |
| 11,187 |
Regularized Pairwise Relationship based Analytics for Structured Data |
2023 |
SIGMOD |
4.1945683e-05 |
| 11,225 |
Auto-Tuning with Reinforcement Learning for Permissioned Blockchain Systems |
2023 |
VLDB |
4.1945683e-05 |
| 11,279 |
Demonstrating Waffle: A Self-driving Grid Index |
2023 |
VLDB |
4.1945683e-05 |
| 11,487 |
Toto - Benchmarking the Efficiency of a Cloud Service |
2021 |
SIGMOD |
4.1945683e-05 |