An In-depth Study of Bandwidth Allocation across Media Sources in Video Conferencing

Video Conferencing Applications (VCAs) are indispensable for real-time communication in remote work and education by enabling simultaneous transmission of audio, video, and screen-sharing content. Despite their ubiquity, research on how these platforms allocate network bandwidth, especially under constrained conditions, and how these resource allocation strategies affect the users' Quality of Experience (QoE) is lacking. This paper addresses this gap by analyzing bandwidth allocation strategies in Zoom, Webex, and Google Meet, with a focus on QoE implications. To assess QoE, we propose a general QoE prediction model based on data collected from a study involving 800 participants. This study is a pioneering effort in evaluating multimedia transmissions across diverse scenarios and network conditions, advancing beyond prior research focused on single media types. The results demonstrate the model's effectiveness and generality in predicting QoE across various VCA scenarios.

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Publication Details

Published
2024-10-26
DOI
https://doi.org/10.1145/3664647.3681007
Citations
2
Primary Topic
Multimedia Communication and Technology
Type
article
Field-Weighted Citation Impact
2.26

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article

An In-depth Study of Bandwidth Allocation across Media Sources in Video Conferencing

Xiao Zhu, Feng Qian, Anlan Zhang, Zejun Zhang
2 citations
Multimedia Communication and Technology
2.26
article

An In-depth Study of Bandwidth Allocation across Media Sources in Video Conferencing

Xiao Zhu, Feng Qian, Anlan Zhang, Zejun Zhang
article en
2 citations

Abstract

Video Conferencing Applications (VCAs) are indispensable for real-time communication in remote work and education by enabling simultaneous transmission of audio, video, and screen-sharing content. Despite their ubiquity, research on how these platforms allocate network bandwidth, especially under constrained conditions, and how these resource allocation strategies affect the users' Quality of Experience (QoE) is lacking. This paper addresses this gap by analyzing bandwidth allocation strategies in Zoom, Webex, and Google Meet, with a focus on QoE implications. To assess QoE, we propose a general QoE prediction model based on data collected from a study involving 800 participants. This study is a pioneering effort in evaluating multimedia transmissions across diverse scenarios and network conditions, advancing beyond prior research focused on single media types. The results demonstrate the model's effectiveness and generality in predicting QoE across various VCA scenarios.

University of Southern California (US), Google (United States) (US)
National Science Foundation
Quality Education
Openalex Percentile: Top 10%
Multimedia Communication and Technology
2.26
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