Northampton Electronic Collection of Theses and Research

Performance evaluation of resources management in WebRTC for a scalable communication

Edan, N. M., Al-Sherbaz, A. and Turner, S. J. (2018) Performance evaluation of resources management in WebRTC for a scalable communication. In: Computing Conference 2018 Proceedings :. London: IEEE. (In Press)

Item Type: Book Section
Abstract: Web Real-Time Communication (WebRTC) offers peer-to-peer communications without any plug-ins. However, WebRTC cannot provide scalability because of its method that depends on a single server or due to the resource limitations and network topology in the architectural of the WebRTC. This paper aims to design a real environment using MATLAB simulation tools to specify the limitations of resources in WebRTC for bi-directional video conferencing, such as CPU performance, bandwidth consumption and Quality of Experience (QoE) using different topologies such as mesh, star and hybrid (a combination of unidirectional/star & bi-directional/mesh). Moreover, several CPU cores like i3, i5, i7, Xeon, i9 and Xeon Phi, as well as bandwidths: 0.5, 1, 5, 10, 30, 50, 100, 500 and 1000 (Mb/s) were considered to achieve and expand the scalability. In this implementation, the factors of real-time implementation were used. Thus, the utilized measurements were already validated while MATLAB presents coefficient with 95% confidence bound. Additionally, this paper highlights the obstructions are preventing scalability in WebRTC using a centralized server. This illustration is beneficial for interested developers who intend to use WebRTC duplex video conferencing among undefined users and different topologies. Furthermore, our simulation-based’ performance evaluation shows the efficiency of the hybrid topology in decreasing the bandwidth overhead and CPU load in WebRTC.
Uncontrolled Keywords: The Web Real-Time Communication (WebRTC), Quality of Experience (QoE), mesh topology, star topology and hybrid topology
Creators: Edan, Naktal Moaid, Al-Sherbaz, Ali and Turner, Scott J
Publisher: IEEE
Faculties, Divisions and Institutes: Faculties > Faculty of Arts, Science & Technology > Computing
Date: 15 February 2018
Date Type: Acceptance
Title of Book: Computing Conference 2018 Proceedings :
Place of Publication: London
Language: English
Status: In Press
Refereed: Yes
URI: http://nectar.northampton.ac.uk/id/eprint/10247

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