Human perception-based distributed architecture for scalable video conferencing services: theoretical models and performance

Abstract

This research work proposes a human perception-based distributed architecture for the multiparty video conferencing services. The new architecture can effectively reduce the unnecessary traffic of the multilayer video streams on the overlay network. Rich theoretical models of the three different architectures: the proposed perception-based distributed architecture, the conventional centralized architecture, and perception-based centralized architecture have been constructed by using queuing theory to reflect the traffic generated, transmitted, and processed by the three architectures. The performance has been considered in different aspects from the total waiting time to the required service rates. Together, the modeling tools, the analysis, and the numerical results help to answer the common concern about advantages and disadvantages of the centralized and distributed architectures. Overall, the proposed human perception-based distributed architecture can maintain a smaller total waiting time with a much smaller requirement of service rate in comparison with the conventional centralized architecture and perception-based centralized architecture.