VaaS: Videoconference as a service

2014 International Conference on Future Internet of Things and Cloud

Alonso

Salvachúa

et al. 2014

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

Section: B Scalabilitymentioning

confidence: 99%

“…This experiment was performed in a small instance in Amazon EC2 4 , roughly equivalent to 1GHz Intel Xeon family processor.…”

Section: B Scalabilitymentioning

confidence: 99%

See 1 more Smart Citation

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

2014 International Conference on Future Internet of Things and Cloud

Alonso

Salvachúa

et al. 2014

“…This allowed us to create a single application for all mobile platforms with minor adjustments while, at the same time, being able to produce a web for desktop version without starting from scratch. Furthermore, we have previous successful experiences with the technology as seen in [2], [3] which also explain some of the basic technology used for this prototype in more detail.…”

Section: B Terminal Capabilitiesmentioning

confidence: 99%

Adaptive cross-device videoconferencing solution for wireless networks based on QoS monitoring

2013 World Congress on Computer and Information Technology (WCCIT)

Alonso

Salvachúa

et al. 2013

Abstract-The increase in CPU power and screen quality of todays smartphones as well as the availability of high bandwidth wireless networks has enabled high quality mobile videoconferencing never seen before. However, adapting to the variety of devices and network conditions that come as a result is still not a trivial issue. In this paper, we present a multiple participant videoconferencing service that adapts to different kind of devices and access networks while providing an stable communication. By combining network quality detection and the use of a multipoint control unit for video mixing and transcoding, desktop, tablet and mobile clients can participate seamlessly. We also describe the cost in terms of bandwidth and CPU usage of this approach in a variety of scenarios.

“…Finally, we are interested in how these speciflc results can reflect in various applications for multimedia streaming and videoconference like [14],…”

Section: Related Workmentioning

confidence: 99%

Testing a Cloud Provider Network for Hybrid P2P and Cloud Streaming Architectures

Cerviño

2011 IEEE 4th International Conference on Cloud Computing

Trajkovska

et al. 2011

Abstract-The number of online real-time streaming services deployed over network topologies like P2P or centralized ones has remarkably increased in the recent years. This has revealed the lack of networks that are well prepared to respond to this kind of trafile. A hybrid distribution network can be an efflcient solution for real-time streaming services. This paper contatos the experimental results of streaming distribution in a hybrid architecture that consist of mixed connections among P2P and Cloud nodes that can tateroperate together. We have chosen to represent the P2P nodes as PlanetLab machines over the world and the cloud nodes using a Cloud provider's network. First we present an experimental validation of the Cloud infrastructure's ability to distribute streaming sessions with respect to some key streaming QoS parameters: jitter, throughput and packet losses. Next we show the results obtained from different test scenarios, when a hybrid distribution network is used. The scenarios measure the improvement of the multimedia QoS parameters, when nodes in the streaming distribution network (located in different continents) are gradually moved into the Cloud provider infrastructure. The overall conclusión is that the QoS of a streaming service can be efflciently improved, unlike in traditional P2P systems and CDN, by deploying a hybrid streaming architecture. This enhancement can be obtained by strategic placing of certain distribution network nodes into the Cloud provider infrastructure, taking advantage of the reduced packet loss and low lateney that exists among its datacenters.