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Miguel A. Bermejo-Agueda

dblp:361/0235 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0004-2543-8743ORCID · reported

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

Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021Applied, interdisciplinary, general and emerging computing · 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 measurement and analytics · 77% Wireless networking · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network measurement and analytics
mobile network measurement
0.912025
Unveiling Network Performance in the Wild: An Ad-Driven Analysis of Mobile Download Speeds · WWW 2025
YearPublicationVenuePosition
2025 Unveiling Network Performance in the Wild: An Ad-Driven Analysis of Mobile Download Speeds
abstract
Accurate measurement of mobile network performance is crucial for optimizing user experience and ensuring regulatory compliance. Traditional methods like crowdsourcing approaches, though effective, depend heavily on user participation and extensive infrastructure. In this paper, we introduce adNPM, a novel technique for measuring download speed by embedded measurement code in ads displayed across web browsers and mobile apps, without requiring user participation. Through controlled lab tests and real-world deployments in 15 countries, we demonstrate that adNPM achieves accuracy comparable to well-established tools like Speedtest by Ookla and Opensignal while significantly reducing data consumption.
Miguel A. Bermejo-Agueda, Patricia Callejo, Rubén Cuevas Rumín, Ángel Cuevas, Ramakrishnan Durairajan, Reza Rejaie, Álvaro Mayol
WWW1