Performance Evaluation of Resources Management in WebRTC for A Scalable Communication

Edan, Naktal Moaid, Al-Sherbaz, Ali ORCID: 0000-0002-0995-1262 and Turner, Scott (2018) Performance Evaluation of Resources Management in WebRTC for A Scalable Communication. In: Intelligent Computing Proceedings of the 2018 Computing Conference. Springer, Cham, pp. 648-665. ISBN 9783030011772

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9430 Naktal Moaid Edan, Ali Al-Sherbaz, Scott Turner (2017) Performance-Evaluation-of-Resources-Management-in-WebRTC-for-A-Scalable-Communication.pdf - Accepted Version
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Abstract

Web Real-Time Communication (WebRTC) offers peer-to-peer communications without any plugins. 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.

Item Type: Book Section
Uncontrolled Keywords: The Web Real-Time Communication (WebRTC); Quality of Experience (QoE); Mesh topology; Star Topology; Hybrid Topology.
Subjects: H Social Sciences > HF Commerce > HF5001 Business
Q Science > QA Mathematics > QA76 Computer software
Divisions: Schools and Research Institutes > School of Computing and Engineering > Technical & Applied Computing
Research Priority Areas: Applied Business & Technology
Depositing User: Kate Greenaway
Date Deposited: 12 Mar 2021 15:21
Last Modified: 01 Aug 2021 22:30
URI: https://eprints.glos.ac.uk/id/eprint/9430

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