Comparison of Popular Video Conferencing Apps Using Client-side Measurements on Different Backhaul Networks
Rohan Kumar, Dhruv Nagpal, Vinayak Naik, Dipanjan Chakraborty

TL;DR
This study compares Google Meet, Microsoft Teams, and Zoom in terms of performance, resource consumption, and user experience across different networks, providing insights for users and developers to optimize platform choice and design.
Contribution
The paper offers a comprehensive set of network and system measurements, along with user studies, to evaluate and compare popular video conferencing apps' performance and resource usage.
Findings
Significant differences in how apps handle video and audio streams.
Resource consumption varies notably among platforms.
No single app is optimal for all user needs.
Abstract
Video conferencing platforms have been appropriated during the COVID-19 pandemic for different purposes, including classroom teaching. However, the platforms are not designed for many of these objectives. When users, like educationists, select a platform, it is unclear which platform will perform better given the same network and hardware resources to meet the required Quality of Experience (QoE). Similarly, when developers design a new video conferencing platform, they do not have clear guidelines for making design choices given the QoE requirements. In this paper, we provide a set of networks and systems measurements, and quantitative user studies to measure the performance of video conferencing apps in terms of both, Quality of Service (QoS) and QoE. Using those metrics, we measure the performance of Google Meet, Microsoft Teams, and Zoom, which are three popular platforms in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
