Generating Representative Video Teleconferencing Traffic
Authors: 
David DeAngelis, 
Alefiya Hussain, Brian Kocoloski, Calvin Ardi, Stephen SchwabAuthors Info & Claims
Pages 100 - 104
Abstract
Video teleconferencing (VTC) is a dominant network application, yet there is a dearth of tools to generate such traffic for systematic and reproducible experimentation. We present a framework to create representative video teleconferencing traffic and discuss our methodology for behavioral control of multiple bots to create human-like dialog coordination, including interactive talking and silence patterns. Our framework can be coupled with proprietary commercial VTC applications as well as deployed completely within a testbed environment to benchmark emerging networking technology and evaluate the next generation of traffic classification, quality of service (QoS) algorithms, and traffic engineering systems. Our traffic generators are open source and freely available at https://mergetb.org/projects/searchlight/.
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Index Terms
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Published In
August 2022
150 pages
ISBN:9781450396844
DOI:10.1145/3546096
Copyright © 2022 ACM.
Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.
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Association for Computing Machinery
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Published: 08 August 2022
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