Modeling for a QoS-Efficient Real-Time Video Conferencing System in the Cloud

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Tesfamicael, AD
Liu, V
Foo, E
Caelli, B
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2018
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Split, Croatia
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Abstract

Recently on-premises deployed real-time video conferencing (VC) systems have been facing the growing resource demand from using desktop and mobile devices. To address the cost of upgrading the existing on-promises VC infrastructure, businesses are moving towards cloud-based VC services. However, operating cloud-based VC and maintaining real-time interactive conferencing of audio and video sessions also has a number of challenges including availability, quality of video calls and performance issues. Video conferencing require significant hardware resources and stringent Quality of Service (QoS) requirements in terms of bandwidth, delay, and jitter. This research proposes a viable model for the design and implementation of a cloud-based VC system that meets timecritical requirements. We provide a numerical simulation evaluation, which shows that a relevant methodology can be used to best manage and control a cloud-based VC system to realize benefits while maintaining required level of QoS and performance.

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2018 26th International Conference on Software, Telecommunications and Computer Networks, SoftCOM 2018
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© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Information and computing sciences
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