Novel WebRTC Signalling Mechanism

Two recent papers discussing the work of Naktal Edan on WebRTC 

Edan N.M., Al-Sherbaz A., Turner S. (2019) WebNSM: A Novel Scalable WebRTC Signalling Mechanism for One-to-Many Bi-directional Video Conferencing. In: Arai K., Kapoor S., Bhatia R. (eds) Intelligent Computing. SAI 2018. Advances in Intelligent Systems and Computing, vol 857. Springer, Cham 
https://doi.org/10.1007/978-3-030-01177-2_40

Abstract
Web Real-Time Communication (WebRTC) has been interested in many developers for video conferencing. The major aim is to create a scalable WebRTC signalling mechanism called (WebNSM) for bi-directional video conferencing via Ethernet of LAN and WAN networks. WebNSM was designed for many users over star topology (one-to-many) using Socket.io (API) mechanism and various JavaScript methods to handle the default channel among peers and to gain a full duplex connection among the main broadcaster and participants. WebNSM has a novelty while it provides bi-directional video conferencing for undefined users, opens one/multiple rooms using the same server, determines room initiator, keeps a session productive even another participant leaves, joins an existing session or renegotiate new session, and does not allow unknown peer to join the session. Also, an evaluation of WebNSM, bandwidth consumption, CPU performance, memory usage, Quality of Experience (QoE), maximum links and RTP calculation was achieved. Moreover, this paper highlights the limitations of resources and using star topology for WebRTC video conferencing.

To read the full paper: https://link.springer.com/chapter/10.1007/978-3-030-01177-2_40#citeas 




Edan N.M., Al-Sherbaz A., Turner S. (2019) Performance Evaluation of Resources Management in WebRTC for a Scalable Communication. In: Arai K., Kapoor S., Bhatia R. (eds) Intelligent Computing. SAI 2018. Advances in Intelligent Systems and Computing, vol 857. Springer, Cham
https://doi.org/10.1007/978-3-030-01177-2_48

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.

To read the full paper: https://link.springer.com/chapter/10.1007/978-3-030-01177-2_48


All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with. Twitter: @scottturneruon

SDQ: Software Defined Networking experimentation framework

Fawcett, L., Mu, M., Broadbent, M., Hart, N. and Race, N. (2016) SDQ: enabling rapid QoE experimentation using Software Defined Networking. In: IFIP/IEEE International Symposium on Integrated Network Management. New York: IEEE. (Accepted)

Abstract
The emerging network paradigm of Software Defined Networking (SDN) has been increasingly adopted to improve the Quality of Experiences (QoE) across multiple HTTP adaptive streaming (HAS) instances. However, there is currently a gap between research and reality in this field. QoE models, which offer user-level context to network management processes, are often tested in a simulation environment. Such environments do not consider the effects that network protocols, client programs, and other real world factors may have on the outcomes. Ultimately, this can lead to models not functioning as expected in real networks. On the other hand, setting up an experiment that reflects reality is a time consuming process requiring expert knowledge. This paper shares designs and guidelines of an SDN experimentation framework (SDQ), which offers rapid evaluation of QoE models using real network infrastructures.

To be presented at:
15th International Federation for Information Processing/Institute of Electrical and Electronics Engineers (IFIP/IEEE) International Symposium on Integrated Network Management (IM2017) http://im2017.ieee-im.org/
Lisbon, Portugal
08-12 May 2017

All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with. Twitter: @scottturneruon

QoE-aware inter-stream synchronization in open N-screens cloud

A recent paper by Dr Mu Mu:

QoE-aware inter-stream synchronization in open N-screens cloud

Mu, M., Simpson, S., Stokking, H. and Race, N.

Consumer Communications and Networking (CCNC), 2016 13th Annual IEEE. Las Vegas: IEEE. 2331-9860.

Abstract

The growing popularity and increasing performance of mobile devices is transforming the way in which media can be consumed, from single device playback to orchestrated multi-stream experiences across multiple devices. One of the biggest challenges in realizing such immersive media experience is the dynamic management of synchronicity between associated media streams. This is further complicated by the faceted aspects of user perception and heterogeneity of user devices and networks. This paper introduces a QoE-aware open inter-stream media synchronization framework (IMSync). IMSync employs efficient monitoring and control mechanisms, as well as a bespoke QoE impact model derived from subjective user experiments. Given a current lag, IMSync's aim is to use the impact model to determine a good catch-up strategy that minimizes detrimental impact on QoE. The impact model balances the accumulative impact of re-synchronization processes and the degree of non-synchronicity to ensure the QoE. Experimental results verify the run-time performance of the framework as a foundation for immersive media experience in open N-Screens cloud.

Mu, M., Simpson, S., Stokking, H. and Race, N. (2016) QoE-aware inter-stream synchronization in open N-screens cloud. In:Consumer Communications and Networking (CCNC), 2016 13th Annual IEEE. Las Vegas: IEEE. 2331-9860. (In Press)

If you'd like to find out more about Computing at the University of Northampton go to: www.computing.northampton.ac.uk. All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with