| 4,833 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
6.3834856e-05 |
| 5,043 |
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing |
2022 |
VLDB |
6.28918e-05 |
| 5,046 |
Breaking Down Memory Walls: Adaptive Memory Management in LSM-based Storage Systems |
2021 |
VLDB |
6.2884087e-05 |
| 5,098 |
DBPA: A Benchmark for Transactional Database Performance Anomalies |
2023 |
SIGMOD |
6.2631174e-05 |
| 5,211 |
Database Workload Characterization with Query Plan Encoders |
2022 |
VLDB |
6.2141929e-05 |
| 5,272 |
Endure: A Robust Tuning Paradigm for LSM Trees Under Workload Uncertainty |
2022 |
VLDB |
6.1887235e-05 |
| 5,290 |
Forecasting Big Time Series: Old and New |
2018 |
VLDB |
6.1788815e-05 |
| 5,304 |
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning |
2024 |
VLDB |
6.1758143e-05 |
| 5,713 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
6.0090633e-05 |
| 5,728 |
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data |
2023 |
SIGMOD |
5.9979958e-05 |
| 5,854 |
Modeling Shifting Workloads for Learned Database Systems |
2024 |
SIGMOD |
5.9520525e-05 |
| 5,979 |
Speedup Your Analytics: Automatic Parameter Tuning for Databases and Big Data Systems |
2019 |
VLDB |
5.910201e-05 |
| 5,982 |
Towards instance-optimized data systems |
2021 |
VLDB |
5.9096991e-05 |
| 6,095 |
From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems |
2019 |
SIGMOD |
5.8706416e-05 |
| 6,126 |
iQCAR: inter-Query Contention Analyzer for Data Analytics Frameworks |
2019 |
SIGMOD |
5.8614712e-05 |
| 6,137 |
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads |
2023 |
SIGMOD |
5.8576977e-05 |
| 6,158 |
Rethinking Learned Cost Models: Why Start from Scratch? |
2023 |
SIGMOD |
5.8518237e-05 |
| 6,260 |
The Cosmos Big Data Platform at Microsoft: Over a Decade of Progress and a Decade to Look Forward |
2021 |
VLDB |
5.815273e-05 |
| 6,279 |
A Critical Analysis of Recursive Model Indexes |
2022 |
VLDB |
5.8090653e-05 |
| 6,464 |
Towards General and Efficient Online Tuning for Spark |
2023 |
VLDB |
5.759941e-05 |
| 6,481 |
Contention-Aware Lock Scheduling for Transactional Databases |
2018 |
VLDB |
5.7529529e-05 |
| 6,626 |
Everything is a Transaction: Unifying Logical Concurrency Control and Physical Data Structure Maintenance in Database Management Systems |
2021 |
CIDR |
5.7130318e-05 |
| 6,752 |
A Unified and Efficient Coordinating Framework for Autonomous DBMS Tuning |
2023 |
SIGMOD |
5.6733557e-05 |
| 6,768 |
Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities |
2022 |
SIGMOD |
5.6693759e-05 |
| 6,850 |
When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations |
2023 |
VLDB |
5.648482e-05 |
| 7,091 |
Saturn: An Optimized Data System for Multi-Large-Model Deep Learning Workloads |
2024 |
VLDB |
5.5871281e-05 |
| 7,092 |
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model |
2025 |
VLDB |
5.5868637e-05 |
| 7,108 |
KEA: Tuning an Exabyte-Scale Data Infrastructure |
2021 |
SIGMOD |
5.5817869e-05 |
| 7,257 |
RCRank: Multimodal Ranking of Root Causes of Slow Queries in Cloud Database Systems |
2025 |
VLDB |
5.5579707e-05 |
| 7,363 |
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD |
2024 |
VLDB |
5.5279826e-05 |
| 7,393 |
LRU-C: Parallelizing Database I/Os for Flash SSDs |
2023 |
VLDB |
5.5202899e-05 |
| 7,525 |
On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection |
2021 |
VLDB |
5.4868603e-05 |
| 7,621 |
SageDB: An Instance-Optimized Data Analytics System |
2022 |
VLDB |
5.4664683e-05 |
| 7,633 |
BugDoc: Algorithms to Debug Computational Processes |
2020 |
SIGMOD |
5.4635757e-05 |
| 7,715 |
Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems |
2022 |
SIGMOD |
5.4556951e-05 |
| 7,844 |
Bespoke OLAP: Synthesizing Workload-Specific One-size-fits-one Database Engines |
2026 |
VLDB |
5.4255843e-05 |
| 7,925 |
CAMAL: Optimizing LSM-trees via Active Learning |
2024 |
SIGMOD |
5.4086685e-05 |
| 7,944 |
Runtime Variation in Big Data Analytics |
2023 |
SIGMOD |
5.4051579e-05 |
| 7,997 |
The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions |
2024 |
VLDB |
5.3938336e-05 |
| 8,026 |
A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning |
2024 |
VLDB |
5.3884724e-05 |
| 8,091 |
Two is Better Than One: The Case for 2-Tree for Skewed Data Sets |
2023 |
CIDR |
5.3744333e-05 |
| 8,112 |
Dendrite: Bolt-on Adaptivity for Data Systems |
2021 |
SIGMOD |
5.3739121e-05 |
| 8,115 |
Sentinel: Understanding Data Systems |
2020 |
SIGMOD |
5.3739121e-05 |
| 8,223 |
Algorithmic Complexity Attacks on Dynamic Learned Indexes |
2024 |
VLDB |
5.3584214e-05 |
| 8,274 |
The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual” |
2021 |
VLDB |
5.3477381e-05 |
| 8,571 |
Serverless State Management Systems |
2024 |
CIDR |
5.2989007e-05 |
| 8,638 |
Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines |
2024 |
SIGMOD |
5.2825944e-05 |
| 8,662 |
PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking |
2025 |
VLDB |
5.2781431e-05 |
| 8,672 |
FusionInsight LibrA: Huawei’s Enterprise Cloud Data Analytics Platform |
2018 |
VLDB |
5.2753524e-05 |
| 8,782 |
A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach |
2025 |
SIGMOD |
5.2647219e-05 |