| 5,645 |
Database Workload Characterization with Query Plan Encoders |
2022 |
VLDB |
5.3928148e-05 |
| 5,787 |
Machine Learning for Databases |
2021 |
VLDB |
5.3256401e-05 |
| 5,799 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
5.3219666e-05 |
| 5,834 |
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning |
2024 |
VLDB |
5.3082111e-05 |
| 5,844 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
5.3060581e-05 |
| 5,920 |
Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems |
2021 |
VLDB |
5.2686888e-05 |
| 6,125 |
iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks |
2019 |
SIGMOD |
5.1949154e-05 |
| 6,265 |
Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems |
2019 |
VLDB |
5.1294788e-05 |
| 6,278 |
The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward |
2021 |
VLDB |
5.1241654e-05 |
| 6,298 |
Towards instance-optimized data systems |
2021 |
VLDB |
5.1182917e-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 |
| 6,489 |
Towards General and Efficient Online Tuning for Spark |
2023 |
VLDB |
5.0373773e-05 |
| 6,564 |
Automatic Database Configuration Debugging using Retrieval-Augmented Language Models |
2025 |
SIGMOD |
5.0037892e-05 |
| 6,723 |
A Critical Analysis of Recursive Model Indexes |
2022 |
VLDB |
4.9449538e-05 |
| 6,745 |
On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection |
2021 |
VLDB |
4.9376468e-05 |
| 6,860 |
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data |
2023 |
SIGMOD |
4.9008421e-05 |
| 6,883 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
4.8918682e-05 |
| 7,023 |
Contention-Aware Lock Scheduling for Transactional Databases |
2018 |
VLDB |
4.853107e-05 |
| 7,099 |
KEA: Tuning an Exabyte-Scale Data Infrastructure |
2021 |
SIGMOD |
4.8263529e-05 |
| 7,140 |
Everything is a Transaction: Unifying Logical Concurrency Control and Physical Data Structure Maintenance in Database Management Systems |
2021 |
CIDR |
4.8153926e-05 |
| 7,291 |
Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities |
2022 |
SIGMOD |
4.7677422e-05 |
| 7,325 |
LRU-C: Parallelizing Database I/Os for Flash SSDs |
2023 |
VLDB |
4.7564908e-05 |
| 7,497 |
Dendrite: Bolt-on Adaptivity for Data Systems |
2021 |
SIGMOD |
4.7135369e-05 |
| 7,499 |
Sentinel: Understanding Data Systems |
2020 |
SIGMOD |
4.7135369e-05 |
| 7,564 |
Modeling Shifting Workloads for Learned Database Systems |
2024 |
SIGMOD |
4.7049893e-05 |
| 7,623 |
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads |
2023 |
SIGMOD |
4.6890662e-05 |
| 7,676 |
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model |
2025 |
VLDB |
4.6770108e-05 |
| 7,742 |
Rethinking Learned Cost Models: Why Start from Scratch? |
2023 |
SIGMOD |
4.6585812e-05 |
| 7,778 |
Runtime Variation in Big Data Analytics |
2023 |
SIGMOD |
4.6491879e-05 |
| 7,993 |
RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems |
2025 |
VLDB |
4.6080455e-05 |
| 7,994 |
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD |
2024 |
VLDB |
4.607322e-05 |
| 8,003 |
The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions |
2024 |
VLDB |
4.6049527e-05 |
| 8,011 |
CAMAL: Optimizing LSM-trees via Active Learning |
2024 |
SIGMOD |
4.6022693e-05 |
| 8,036 |
Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems |
2022 |
SIGMOD |
4.5965825e-05 |
| 8,102 |
When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations |
2023 |
VLDB |
4.5816532e-05 |
| 8,185 |
Two is Better Than One: The Case for 2-Tree for Skewed Data Sets |
2023 |
CIDR |
4.5614825e-05 |
| 8,335 |
BugDoc: Algorithms to Debug Computational Processes |
2020 |
SIGMOD |
4.538972e-05 |
| 8,402 |
Serverless State Management Systems |
2024 |
CIDR |
4.5167942e-05 |
| 8,434 |
SageDB: An Instance-Optimized Data Analytics System |
2022 |
VLDB |
4.5077955e-05 |
| 8,466 |
FusionInsight LibrA: Huawei’s Enterprise Cloud Data Analytics Platform |
2018 |
VLDB |
4.4995574e-05 |
| 8,585 |
A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning |
2024 |
VLDB |
4.4856045e-05 |
| 8,612 |
The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that "Read the Manual" |
2021 |
VLDB |
4.4807455e-05 |
| 8,624 |
Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines |
2024 |
SIGMOD |
4.4786127e-05 |
| 8,668 |
Algorithmic Complexity Attacks on Dynamic Learned Indexes |
2024 |
VLDB |
4.4671214e-05 |
| 8,714 |
Tiresias: Enabling Predictive Autonomous Storage and Indexing |
2022 |
VLDB |
4.457682e-05 |
| 8,797 |
Avoiding Read Stalls on Flash Storage |
2022 |
SIGMOD |
4.4444672e-05 |
| 8,806 |
Your Read is Our Priority in Flash Storage |
2022 |
VLDB |
4.44219e-05 |
| 8,834 |
ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation |
2024 |
SIGMOD |
4.4351469e-05 |