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Ege Cem Kirci

dblp:330/6862 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2024
0000-0002-7014-1971ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 2 first-author · 2 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

TopicWeightPapersLastEvidence papers
Network measurement and analytics › anomaly detection
internet outage detection		 0.612022
"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		 0.212022
"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
YearPublicationVenuePosition
2024 What is the next hop to more granular routing models?
abstract
Despite its widespread use, the "Gao-Rexford" model has long been recognized for its limitations in accurately capturing Internet routing behavior. However, the root causes of these limitations remain poorly understood, due to the lack of ground truth data. We address this by systematically analyzing inference techniques against generated topologies.
Ege Cem Kirci, Valerio Torsiello, Laurent Vanbever
 HotNets1
2022 "Is my internet down?": sifting through user-affecting outages with Google trends
abstract
What 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
 IMC1