Demo Data from EDBT 2026 / reviewers in the wild / expert
Patrick Royer
dblp:349/7758
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
0009-0001-7793-8174ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
2 papers |
Database system architecture and tuning · 70% Data stream processing · 24% Machine learning and data management · 6% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Database system architecture and tuning › database tuning
automatic database tuning |
0.9 | 1 | 2025 | DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning · Proc. VLDB Endow. 2025 |
Database system architecture and tuning › configuration tuning
knob tuning |
0.9 | 1 | 2025 | DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning · Proc. VLDB Endow. 2025 |
Data stream processing
stream sampling |
0.9 | 1 | 2025 | DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning · Proc. VLDB Endow. 2025 |
Database system architecture and tuning
self-managing database systems |
0.8 | 1 | 2024 | Challenges & Opportunities in Automating DBMS: A Qualitative Study · ASE 2024 |
Machine learning and data management
data management for machine learning |
0.2 | 1 | 2024 | Challenges & Opportunities in Automating DBMS: A Qualitative Study · ASE 2024 |
Methods — techniques the papers use, named apart from their topics
survey · 0.8qualitative study · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning
Debabrota Basu, Pierre Bourhis, Romain Rouvoy, Patrick Royer |
Proc. VLDB Endow. | 5 |
| 2024 | Challenges & Opportunities in Automating DBMS: A Qualitative StudyabstractBackground. In recent years, the volume and complexity of data handled by Database Management Systems (DBMS) have surged, necessitating greater efforts and resources for efficient administration. In response, numerous automation tools for DBMS administration have emerged, particularly with the progression of AI and machine learning technologies. However, despite these advancements, the industry-wide adoption of such tools remains limited. Pierre Bourhis, Romain Rouvoy, Patrick Royer |
ASE | 4 |