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

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.