On multipoint control units for videoconferencing

Willebeek-LeMair, M.; Kandlur, Dilip D.; Shae, Zon-Yin

doi:10.1109/lcn.1994.386585

Cited by 29 publications

(13 citation statements)

References 2 publications

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“…While there are many ways to design and implement and MCU, such as the ones seen in [8], in this paper we will focus on a pure forwarding MCU. That is, the MCU receives packets from each participants and forwards them to the rest, without performing any advanced operations in the streams themselves like composing or mixing.…”

Section: A Contextmentioning

confidence: 99%

dOTM: A Mechanism for Distributing Centralized Multi-party Video Conferencing in the Cloud

Rodríguez

Alonso

Salvachúa

et al. 2014

2014 International Conference on Future Internet of Things and Cloud

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Abstract-One of the key factors for a given application to take advantage of cloud computing is the ability to scale in an efficient, fast and reliable way. In centralized multi-party video conferencing, dynamically scaling a running conversation is a complex problem. In this paper we propose a methodology to divide the Multipoint Control Unit (the video conferencing server) into more simple units, broadcasters. Each broadcaster receives the media from a participant, processes it and forwards it to the rest. These broadcasters can be distributed among a group of CPUs. By using this methodology, video conferencing systems can scale in a more granular way, improving the deployment.íTeywwds-multimedia, videoconference, mcu, cloud

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Section: A Contextmentioning

confidence: 99%

dOTM: A Mechanism for Distributing Centralized Multi-party Video Conferencing in the Cloud

Rodríguez

Alonso

Salvachúa

et al. 2014

2014 International Conference on Future Internet of Things and Cloud

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“…Most interactive multiparty network applications utilize a centralized entity to synchronize the peers and manage the service. In a conferencing context, this entity is called an MCU and has the role of relaying media streams between the participants, also implementing media mixing, switching and transcoding [4].…”

Section: Conferencing Vs Nmpmentioning

confidence: 99%

Networked music performance over information-centric networks

Stais

Thomas

Xylomenos

et al. 2013

2013 IEEE International Conference on Communications Workshops (ICC)

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Abstract-Information-centric networking (ICN) constitutes an alternative to the conventional, IP-based, internetworking, with information itself being identified rather than the host where it resides. This approach introduces powerful tools and operations for content delivery, such as native support for multicast. Exploiting this native multicast capability is a very promising approach for multimedia applications such as Networked Music Performance (NMP), where a set of musicians located in different places wish to perform together in real time. While conferencing applications traditionally rely on a Multipoint Conferencing Unit (MCU) that receives media streams from each participant and then retransmits a mixed stream to each one, in NMP we would prefer direct communication between the participants, so as to reduce transmission delays and allow each participant to mix the incoming media streams in the desired manner. In this paper we introduce an ICN-based NMP application exploiting native multicast, and compare its performance with both MCU and non-MCU NMP variants, using both unicast and multicast.

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“…In this section we sketch a possible implementation of simple MCU unit (Multipoint Control Unit, [7]) used for videoconferencing. The MCU unit we want to implement should have following functionality: the unit should be able to accept up to twelve input ARTP streams of audio and video data (e.g., 6 audio streams + 6 video streams) of videoconference participants (in this simple case we do not deal with permissions of participants to attend the conference).…”

Section: Example: Simple Mcu Unit In Dipronnmentioning

confidence: 99%

DiProNN: Distributed Programmable Network Node Architecture

Rebok

2008

Fourth International Conference on Networking and Services (Icns 2008)

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Abstract-The programmable network approach allows processing of passing user data in a network, which is highly suitable especially for multimedia streams processing. However, programming of complex stream processing applications for programmable nodes is not effortless since they usually do not provide sufficient flexibility (both programming flexibility and execution environment flexibility). In this paper we present the programmable network node architecture named DiProNN that is able to accept and run user-supplied programs and/or virtual machines and process them over passing data. All the DiProNN programs are described using our modular programming model based on the workflow principles that takes advantages of DiProNN virtualization and makes programming of complex streaming applications easier. As a possible application we show a sketch implementation of simple MCU (Multipoint Control Unit) used for large videoconferences that profits from DiProNN properties.

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On multipoint control units for videoconferencing

Cited by 29 publications

References 2 publications

dOTM: A Mechanism for Distributing Centralized Multi-party Video Conferencing in the Cloud

dOTM: A Mechanism for Distributing Centralized Multi-party Video Conferencing in the Cloud

Networked music performance over information-centric networks

DiProNN: Distributed Programmable Network Node Architecture

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