Self-Driving Database Management Systems
Summary: Introduces Peloton, the first self-driving DBMS that replaces human-in-the-loop tuning with a unified planning component that autonomously controls physical design and runtime knobs. Uses workload prediction (deep learning), modern hardware, and adaptive architectures to enable proactive, integrated optimizations beyond prior advisory tools. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Andrew Pavlo (Carnegie Mellon University)
- 2. Gustavo Angulo (Carnegie Mellon University)
- 3. Joy Arulraj (Carnegie Mellon University)
- 4. Haibin Lin (Carnegie Mellon University)
- 5. Jiexi Lin (Carnegie Mellon University)
- 6. Lin Ma (Carnegie Mellon University)
- 7. Prashanth Menon (Carnegie Mellon University)
- 8. Todd C. Mowry (Carnegie Mellon University)
- 9. Matthew Perron (Carnegie Mellon University)
- 10. Ian Quah (Carnegie Mellon University)
- 11. Siddharth Santurkar (Carnegie Mellon University)
- 12. Anthony Tomasic (Carnegie Mellon University)
- 13. Skye Toor (Carnegie Mellon University)
- 14. Dana Van Aken (Carnegie Mellon University)
- 15. Ziqi Wang (Carnegie Mellon University)
- 16. Yingjun Wu (National University of Singapore)
- 17. Ran Xian (Carnegie Mellon University)
- 18. Tieying Zhang (Carnegie Mellon University)
BibTeX Citation
@inproceedings{pavlo_cidr17,
address = {Amsterdam, Netherlands},
series = {{CIDR} '17},
title = {{Self-Driving Database Management Systems}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Pavlo, Andrew and Angulo, Gustavo and Arulraj, Joy and Lin, Haibin and Lin, Jiexi and Ma, Lin and Menon, Prashanth and Mowry, Todd C. and Perron, Matthew and Quah, Ian and Santurkar, Siddharth and Tomasic, Anthony and Toor, Skye and Van Aken, Dana and Wang, Ziqi and Wu, Yingjun and Xian, Ran and Zhang, Tieying},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 91 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,827 | Self-Managing Technology in Database Management Systems | 2004 | VLDB |
| 2 | 7,915 | Tastes Great! Less Filling! High Performance and Accurate Training Data Collection for Self-Driving Database Management Systems | 2022 | SIGMOD |
| 3 | 6,254 | Foundations of Automated Database Tuning | 2006 | VLDB |
| 4 | 9,711 | Database Gyms | 2023 | CIDR |
| 5 | 9,134 | Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems | 2024 | VLDB |
| 6 | 11,814 | Towards Auto-Generated Data Systems | 2023 | VLDB |
| 7 | 461 | Query-based Workload Forecasting for Self-Driving Database Management Systems | 2018 | SIGMOD |
| 8 | 3,964 | MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems | 2021 | SIGMOD |
| 9 | 11,148 | Automated Database Tuning vs. Human-Based Tuning in a Simulated Stressful Work Environment: A Demonstration of the Database Gym | 2025 | SIGMOD |
| 10 | 3,588 | Make Your Database System Dream of Electric Sheep: Towards Self-Driving Operation | 2021 | VLDB |