Performance Characterization of Videoconferencing in the Wild

Matteo Varvello, Hyunseok Chang, Yasir Zaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Due to the recent “work from home” trend, recent years have seen a growing research interest in understanding existing commercial videoconferencing systems in terms of their performance and architecture. One important question left unanswered that we tackle in this paper is: what is the performance of videoconferencing in the wild? Answering this generic question is challenging because it requires, ideally, a world-wide testbed composed of diverse devices (mobile, desktop), operating systems (Windows, MacOS, Linux) and network accesses (mobile and WiFi). In this paper, we present such a testbed that we develop to evaluate videoconferencing performance in the wild via automation for Android and Chromium-based browsers. We deploy our testbed via 85 distinct devices worldwide and collect performance metrics from 58 hours’ worth of more than 2,000 videoconferencing sessions from 37 unique countries in the world. This, to the best of our knowledge, is the largest collection of videoconferencing performance data in the wild.

Original languageEnglish (US)
Title of host publicationIMC 2022 - Proceedings of the 2022 ACM Internet Measurement Conference
PublisherAssociation for Computing Machinery
Number of pages13
ISBN (Electronic)9781450392594
StatePublished - Oct 25 2022
Event22nd ACM Internet Measurement Conference, IMC 2022 - Nice, France
Duration: Oct 25 2022Oct 27 2022

Publication series

NameProceedings of the ACM SIGCOMM Internet Measurement Conference, IMC


Conference22nd ACM Internet Measurement Conference, IMC 2022

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications


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