| 5,634 |
Intelligent Scaling in Amazon Redshift |
2024 |
SIGMOD |
5.4000904e-05 |
| 5,637 |
Database Workload Characterization with Query Plan Encoders |
2022 |
VLDB |
5.3979505e-05 |
| 5,832 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
5.3111109e-05 |
| 5,861 |
Machine Learning for Databases |
2021 |
VLDB |
5.298883e-05 |
| 5,918 |
Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems |
2021 |
VLDB |
5.2737135e-05 |
| 6,124 |
iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks |
2019 |
SIGMOD |
5.1988046e-05 |
| 6,151 |
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning |
2024 |
VLDB |
5.183652e-05 |
| 6,230 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
5.145989e-05 |
| 6,261 |
The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward |
2021 |
VLDB |
5.1350714e-05 |
| 6,268 |
Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems |
2019 |
VLDB |
5.133857e-05 |
| 6,297 |
Towards instance-optimized data systems |
2021 |
VLDB |
5.1227886e-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 |
| 6,724 |
A Critical Analysis of Recursive Model Indexes |
2022 |
VLDB |
4.9484506e-05 |
| 6,757 |
KEA: Tuning an Exabyte-Scale Data Infrastructure |
2021 |
SIGMOD |
4.9372134e-05 |
| 6,765 |
Automatic Database Configuration Debugging using Retrieval-Augmented Language Models |
2025 |
SIGMOD |
4.9325583e-05 |
| 6,871 |
Towards General and Efficient Online Tuning for Spark |
2023 |
VLDB |
4.8997004e-05 |
| 6,879 |
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data |
2023 |
SIGMOD |
4.8971368e-05 |
| 6,885 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
4.895386e-05 |
| 7,040 |
Contention-Aware Lock Scheduling for Transactional Databases |
2018 |
VLDB |
4.854418e-05 |
| 7,142 |
Everything is a Transaction: Unifying Logical Concurrency Control and Physical Data Structure Maintenance in Database Management Systems |
2021 |
CIDR |
4.8197508e-05 |
| 7,296 |
Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities |
2022 |
SIGMOD |
4.7723197e-05 |
| 7,329 |
LRU-C: Parallelizing Database I/Os for Flash SSDs |
2023 |
VLDB |
4.7610574e-05 |
| 7,498 |
Dendrite: Bolt-on Adaptivity for Data Systems |
2021 |
SIGMOD |
4.7180617e-05 |
| 7,500 |
Sentinel: Understanding Data Systems |
2020 |
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 |
| 7,753 |
Rethinking Learned Cost Models: Why Start from Scratch? |
2023 |
SIGMOD |
4.660151e-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 |
| 7,989 |
RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems |
2025 |
VLDB |
4.6124681e-05 |
| 7,990 |
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD |
2024 |
VLDB |
4.6117441e-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 |
| 8,097 |
When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations |
2023 |
VLDB |
4.5860503e-05 |
| 8,183 |
Two is Better Than One: The Case for 2-Tree for Skewed Data Sets |
2023 |
CIDR |
4.5658208e-05 |
| 8,186 |
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model |
2025 |
VLDB |
4.5651684e-05 |
| 8,231 |
FusionInsight LibrA: Huawei’s Enterprise Cloud Data Analytics Platform |
2018 |
VLDB |
4.5539609e-05 |
| 8,341 |
BugDoc: Algorithms to Debug Computational Processes |
2020 |
SIGMOD |
4.5433282e-05 |
| 8,407 |
Serverless State Management Systems |
2024 |
CIDR |
4.5211284e-05 |
| 8,426 |
Avoiding Read Stalls on Flash Storage |
2022 |
SIGMOD |
4.5162792e-05 |
| 8,435 |
Your Read is Our Priority in Flash Storage |
2022 |
VLDB |
4.5139996e-05 |
| 8,442 |
SageDB: An Instance-Optimized Data Analytics System |
2022 |
VLDB |
4.5120602e-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 |
| 8,627 |
Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines |
2024 |
SIGMOD |
4.4829101e-05 |
| 8,671 |
Algorithmic Complexity Attacks on Dynamic Learned Indexes |
2024 |
VLDB |
4.4714076e-05 |
| 8,774 |
Tiresias: Enabling Predictive Autonomous Storage and Indexing |
2022 |
VLDB |
4.4559995e-05 |
| 8,834 |
ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation |
2024 |
SIGMOD |
4.4394021e-05 |