Demo Data from EDBT 2026 / reviewers in the wild / expert
Martin Vahlensieck
dblp:331/5795
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 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.
| Computer networks
1 paper |
Network measurement and analytics · 77% Network management and operations · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network measurement and analytics › anomaly detection
internet outage detection |
0.6 | 1 | 2022 | "Is my internet down?": sifting through user-affecting outages with Google trends · IMC 2022 |
Network management and operations › fault management › fault diagnosis
network fault diagnosis |
0.2 | 1 | 2022 | "Is my internet down?": sifting through user-affecting outages with Google trends · IMC 2022 |
Methods — techniques the papers use, named apart from their topics
google trends analysis · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | From Polystores to Polydbms: The Polypheny Experience
Marco Vogt 0001, David Lengweiler, Martin Vahlensieck, Heiko Schuldt |
ICDE | 3 |
| 2022 | "Is my internet down?": sifting through user-affecting outages with Google trendsabstractWhat are the worst outages for Internet users? How long do they last, and how wide are they? Such questions are hard to answer via traditional outage detection and analysis techniques, as they conventionally rely on network-level signals and do not necessarily represent users' perceptions of connectivity. Ege Cem Kirci, Martin Vahlensieck, Laurent Vanbever |
IMC | 2 |