Year: 2025
Type: conference-paper
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.
Institutions: Universidad Carlos III de Madrid, University of Oregon
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
Awards: G3480869486, Collaborative Research: SaTC: CORE: Medium: ONSET: Optics- enabled Network Defenses for Extreme Terabit DDoS Attacks, G4275549507, G4442677895, G4526231891, G4822354710, G5338730000, G7084143925, CNS Core: Medium: Distributed Runtime Dataplane Telemetry as an Adaptive Query Scheduling Problem: Algorithms and Applications, CAREER: Argus: A Measurement-informed Learning Approach to Managing Multi-cloud Networks
OpenAlex ID: W4409671514