Performance Evaluation of Resources Management in WebRTC for a Scalable Communication

Naktal Moaid Edan, Ali Al-Sherbaz, Scott Turner

Research output: Contribution to Book/ReportConference Contribution

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.
Original languageEnglish
Title of host publicationIntelligent Computing
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
Place of PublicationCham
PublisherSpringer International Publishing
Pages648-665
Number of pages18
ISBN (Electronic)978-3-030-01177-2
ISBN (Print)978-3-030-01177-2
DOIs
Publication statusPublished - 2 Nov 2018

Keywords

  • mesh topology
  • qoe
  • quality of experience
  • star topology and
  • the web real-time communication
  • webrtc

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  • Cite this

    Edan, N. M., Al-Sherbaz, A., & Turner, S. (2018). Performance Evaluation of Resources Management in WebRTC for a Scalable Communication. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Intelligent Computing (pp. 648-665). Springer International Publishing. https://doi.org/10.1007/978-3-030-01177-2_48