Measurement Study of Multi-party Video Conferencing

Lu, Yue; Yong, Zhao; Kuipers, Fernando A.; Mieghem, Piet Van

doi:10.1007/978-3-642-12963-6_8

Cited by 46 publications

(25 citation statements)

References 6 publications

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“…4) Web Server serves the JitsiMeet -a JavaScriptWebRTC application to the participants. In the course of our work, for experimentation we implemented the components in two ways: (1) …”

Section: Methodsmentioning

confidence: 99%

“…With the advent of Web Real-Time Communication (WebRTC) 1 , the videoconferencing (VC) applications are becoming widely spread. Any device with a WebRTC-enabled web browser can establish a VC session without additional browser plug-ins.…”

Section: Introductionmentioning

confidence: 99%

“…However, the poor scaling properties of such topology limits the number of participants that take part in a VC call. For multi-party calls with many participants, solutions based on centralised media server infrastructures still represent the only viable option [1]. Traditionally, dedicated hardware servers were used for this.…”

Section: Introductionmentioning

confidence: 99%

“…Vertical scalability mechanisms may seem a simple solution. However, it turns out that deploying more powerful computing nodes may prove useless as in many cases the scalability bottleneck is in the server network bandwidth and not in the CPU or memory consumption of the server instance [1]. This suggests that the VC service design must support horizontal scalability as well.…”

Section: Introductionmentioning

confidence: 99%

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SWITCH-ing from Multi-Tenant to Event-Driven Videoconferencing Services

Trnkoczy¹,

Paščinski²,

Gec³

et al. 2017

2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W)

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Abstract-Full mesh is the most commonly used networking topology in Web Real-Time Communication (WebRTC) based videoconferencing (VC) applications, however, due to its inherently poor scaling capability it is not appropriate for multi-party VC with many participants. Solutions based on centralized media server infrastructures are used to leverage the scaling problem. Service providers adopting centralized approach need to ensure good resource utilization to lower the price, and at the same time provide good Quality of Experience (QoE) to the end users. In practice, even with todays advanced cloud technologies, these two conflicting goals are difficult to achieve simultaneously. In order to tackle this complex problem, we propose an innovative event-driven model, that differs from the traditional multi-tenant service provisioning model. In this work, the architecture and implementation of a WebRTC event-driven multi-party VC, based on Software as a Service (SaaS) principles is presented. A prototype was developed on top of Docker containers and Kubernetes container orchestration technologies, which in our opinion represent key enabling technologies fostering the migration from multi-tenant towards event-driven architectures. The technology readiness to support such time-critical applications is evaluated. The initial results suggest that although there are some trade-offs in terms of performance/resource consumption, our fully functional prototype allows for on-the-fly media server instance creation and destruction in arbitrary cloud provider infrastructure with still acceptable application usability.

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“…4) Web Server serves the JitsiMeet -a JavaScriptWebRTC application to the participants. In the course of our work, for experimentation we implemented the components in two ways: (1) …”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

SWITCH-ing from Multi-Tenant to Event-Driven Videoconferencing Services

Trnkoczy¹,

Paščinski²,

Gec³

et al. 2017

2017 IEEE 2nd International Workshops on Foundations and Applications of Self* Systems (FAS*W)

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“…This approach was applied in [16] to test the A/V synchronization of four video conferencing applications. Also the audio delays among participants was measured by injecting in the video an artificial DTMF (dual-tone multi-frequency) tone.…”

Section: Audio-video Synchronizationmentioning

confidence: 99%

Techniques for Measuring Quality of Experience

Kuipers

Kooij

Vleeschauwer³

et al. 2010

Lecture Notes in Computer Science

Self Cite

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Abstract. Quality of Experience (QoE) relates to how users perceive the quality of an application. To capture such a subjective measure, either by subjective tests or via objective tools, is an art on its own. Given the importance of measuring users' satisfaction to service providers, research on QoE took flight in recent years. In this paper we present an overview of various techniques for measuring QoE, thereby mostly focusing on freely available tools and methodologies.

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