Abstract : Public measurement platforms composed of low-end hardware devices such as RIPE Atlas have gained significant traction in the research community. Such platforms are indeed particularly interesting as they provide Internet-wide measurement capabilities together with an ever growing set of measurement tools. To be scalable though, they allow for concurrent measurements between users. This paper answers a fundamental question for any platform user : Do measurements launched by others impact my results ? If so, what can I do about it ? We measured the impact of multiple users running experiments in parallel on the RIPE Atlas platform. We found that overlapping measurements do interfere with each other. We found that increasing hardware CPU greatly helped in limiting interference on the measured delays.
Contributeur : Cristel Pelsser <>
Soumis le : lundi 25 avril 2016 - 11:12:27
Dernière modification le : mardi 26 avril 2016 - 10:46:18
Document(s) archivé(s) le : mardi 15 novembre 2016 - 09:42:02
Thomas Holterbach, Cristel Pelsser, Randy Bush, Laurent Vanbever. Quantifying Interference between measurements on the RIPE Atlas platform. Rencontres Francophones sur la Conception de Protocoles, l’Évaluation de Performance et l’Expérimentation des Réseaux de Communication (CoRes 2016)CoRes 2016, May 2016, Bayonne, France. 2015. <hal-01306027>