PilotScope: Steering Databases with Machine Learning Drivers
Summary: PilotScope is middleware for deploying AI4DB algorithms, separating ML-centric AI4DB drivers from engine-specific database interactors. This abstraction lowers integration cost and enables portable, cross-database benchmarking of tuning and optimization techniques. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rong Zhu (Alibaba)
- 2. Lianggui Weng (Alibaba)
- 3. Wenqing Wei (Alibaba; University of Science and Technology Beijing)
- 4. Di Wu (Alibaba; Huazhong University of Science and Technology)
- 5. Jiazhen Peng (Alibaba; Zhejiang University)
- 6. Yifan Wang (Alibaba; University of Florida)
- 7. Bolin Ding (Alibaba)
- 8. Defu Lian (University of Science and Technology Beijing)
- 9. Bolong Zheng (Huazhong University of Science and Technology)
- 10. Jingren Zhou (Alibaba)
BibTeX Citation
@article{zhu_vldb24,
title = {{PilotScope: Steering Databases with Machine Learning Drivers}},
author = {Zhu, Rong and Weng, Lianggui and Wei, Wenqing and Wu, Di and Peng, Jiazhen and Wang, Yifan and Ding, Bolin and Lian, Defu and Zheng, Bolong and Zhou, Jingren},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {5},
pages = {980--993},
doi = {10.14778/3641204.3641209},
url = {https://doi.org/10.14778/3641204.3641209},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 50 of 51 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,193 | Structure-Aware Machine Learning over Multi-Relational Databases | 2021 | SIGMOD |
| 2 | 3,575 | Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation | 2021 | VLDB |
| 3 | 4,549 | One Model to Rule them All: Towards Zero-Shot Learning for Databases | 2022 | CIDR |
| 4 | 7,715 | Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems | 2022 | SIGMOD |
| 5 | 5,216 | Aero: Adaptive Query Processing of ML Queries | 2025 | SIGMOD |
| 6 | 6,402 | A Unified Transferable Model for ML-Enhanced DBMS | 2022 | CIDR |
| 7 | 5,126 | Steering Query Optimizers: A Practical Take on Big Data Workloads | 2021 | SIGMOD |
| 8 | 3,959 | MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems | 2021 | SIGMOD |
| 9 | 2,834 | DB4ML – An In-Memory Database Kernel with Machine Learning Support | 2020 | SIGMOD |
| 10 | 2,913 | AI Meets Database: AI4DB and DB4AI | 2021 | SIGMOD |