| Riga 16: | Riga 16: | ||
<li>Press coverage: [http://bari.repubblica.it/cronaca/2014/09/02/news/google-94895337/ Link]</li> | <li>Press coverage: [http://bari.repubblica.it/cronaca/2014/09/02/news/google-94895337/ Link]</li> | ||
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{{NewsItem|2013 March|<absHTML><img class="pull-right" src="http://www.networks.imdea.org/portals/7/imagenes/actualidad/ciscofinal.gif" alt="Cisco" width="130" ></img> | {{NewsItem|2013 March|<absHTML><img class="pull-right" src="http://www.networks.imdea.org/portals/7/imagenes/actualidad/ciscofinal.gif" alt="Cisco" width="130" ></img> | ||
</absHTML> | </absHTML> | ||
We got the best student paper award at the MMSYS 2016 conference for our work:
Google Faculty Award 2014 for designing a congestion control algorithm for real-time communication within the WebRTC framework to enable video conference among Web browsers.
Cisco Award 2013 Funded by "Cisco University Research Program" managed by the Silicon Valley Community Foundation.This proposal aims at designing a robust, efficient and scalable control system for adaptive (live) video streaming over the best-effort Internet.
Title : Architecture for Robust and Efficient Control of Dynamic Adaptive Video Streaming over HTTP.
In this paper, we present a model of the automatic video stream-switching employed by Akamai along with a description of the client-side communication and control protocol. From the control architecture point of view, the automatic adaptation is achieved by means of two interacting control loops having the controllers at the client and the actuators at the server: one loop is the buffer controller, which aims at steering the client playout buffer to a target length by regulating the server sending rate; the other one implements the stream-switching controller and aims at selecting the video level. A detailed validation of the proposed model has been carried out through experimental measurements in an emulated scenario (IEEE explore link).
We got the best student paper award at the MMSYS 2016 conference for our work:
Google Faculty Award 2014 for designing a congestion control algorithm for real-time communication within the WebRTC framework to enable video conference among Web browsers.
Cisco Award 2013 Funded by "Cisco University Research Program" managed by the Silicon Valley Community Foundation.This proposal aims at designing a robust, efficient and scalable control system for adaptive (live) video streaming over the best-effort Internet.
Title : Architecture for Robust and Efficient Control of Dynamic Adaptive Video Streaming over HTTP.
In this paper, we present a model of the automatic video stream-switching employed by Akamai along with a description of the client-side communication and control protocol. From the control architecture point of view, the automatic adaptation is achieved by means of two interacting control loops having the controllers at the client and the actuators at the server: one loop is the buffer controller, which aims at steering the client playout buffer to a target length by regulating the server sending rate; the other one implements the stream-switching controller and aims at selecting the video level. A detailed validation of the proposed model has been carried out through experimental measurements in an emulated scenario (IEEE explore link).