EDBT 2026 Demo / reviewers in the wild / expert
Milla Lintunen
dblp:349/5445
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
0009-0008-1650-2562ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author · 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 management and operations · 61% Cellular and mobile networks · 30% Network measurement and analytics · 9% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network management and operations › fault management
fault detection |
0.7 | 1 | 2023 | Poster: Automatic Mass Power Outage Detection in Radio Access Networks · MobiSys 2023 |
Network management and operations › fault management
fault diagnosis |
0.7 | 1 | 2023 | Poster: Automatic Mass Power Outage Detection in Radio Access Networks · MobiSys 2023 |
Cellular and mobile networks
radio access networks |
0.7 | 1 | 2023 | Poster: Automatic Mass Power Outage Detection in Radio Access Networks · MobiSys 2023 |
Network measurement and analytics › mobile network measurement
mobile network monitoring |
0.2 | 1 | 2023 | Poster: Automatic Mass Power Outage Detection in Radio Access Networks · MobiSys 2023 |
Methods — techniques the papers use, named apart from their topics
trouble ticket analysis · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Poster: Automatic Mass Power Outage Detection in Radio Access NetworksabstractMobile devices are expected to be always connected, and this implies that the mobile network is able to quickly identify and address faults that impact service (for example, due to power outages). In this article, we present our approach for automatically detecting mass power outages. Our solution decreases the number of created trouble tickets in two mobile networks by 4.7% and 9.3%. Milla Lintunen, Gopika Premsankar, Henri Tenhunen, Sasu Tarkoma, Ashwin Rao |
MobiSys | 1 |