Riga 1: Riga 1:
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{{NewsItem|2016 May|
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We got the '''best student paper award''' for our work:
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<paper authors="G. Cofano, L. De Cicco, T. Zinner, A. Nguyen-Ngoc,  P. Tran-Gia, and S. Mascolo" conference="Proc. ACM Mmsys 2016" place="Klagenfurt, Austria" date="May 2016" pdf="network-assistedcontrolcorrected.pdf">
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Design and Experimental Evaluation of Network-assisted Strategies for HTTP Adaptive Video Streaming
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</paper>
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}}
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{{NewsItem|2015 June|
 
{{NewsItem|2015 June|
 
<paper authors="S. Holmer, H. Lundin, G. Carlucci, L. De Cicco, and S. Mascolo" conference="IETF draft RMCAT wg" place="draft-alvestrand-rmcat-congestion-03" date="Jun 2015" url="http://tools.ietf.org/id/draft-alvestrand-rmcat-congestion-03.txt">A Google Congestion Control Algorithm for Real-Time Communication</paper>
 
<paper authors="S. Holmer, H. Lundin, G. Carlucci, L. De Cicco, and S. Mascolo" conference="IETF draft RMCAT wg" place="draft-alvestrand-rmcat-congestion-03" date="Jun 2015" url="http://tools.ietf.org/id/draft-alvestrand-rmcat-congestion-03.txt">A Google Congestion Control Algorithm for Real-Time Communication</paper>

Revisione 07:52, 13 Mag 2016

2016 May

We got the best student paper award for our work:

  • G. Cofano, L. De Cicco, T. Zinner, A. Nguyen-Ngoc, P. Tran-Gia, and S. Mascolo
    Design and Experimental Evaluation of Network-assisted Strategies for HTTP Adaptive Video Streaming
    Proc. ACM Mmsys 2016, Klagenfurt, Austria, May 2016 (PDF)


2015 June
  • S. Holmer, H. Lundin, G. Carlucci, L. De Cicco, and S. Mascolo
    A Google Congestion Control Algorithm for Real-Time Communication
    IETF draft RMCAT wg, draft-alvestrand-rmcat-congestion-03, Jun 2015 (Web: Link)
2014 August

Faculty award 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.

  • Principal investigator: S. Mascolo
  • Title:Congestion Control for Web Real-Time Communication (WebRTC)
  • Press coverage: Link
2014 March
  • H. Lundin, S. Holmer, H. Alvestrand, L. De Cicco, and S. Mascolo
    A Google Congestion Control Algorithm for Real-Time Communication
    IETF draft RMCAT wg, draft-alvestrand-rmcat-congestion-02, Feb 2014 (Web: Link)
2013 November

Our adaptive video streaming platform is used by:

2013 June

In this paper we experimentally evaluate the Google Congestion Control (GCC) which has been recently proposed in the RTCWeb IETF WG. By setting up a controlled testbed, we have evaluated to what extent GCC flows are able to track the available bandwidth, while minimizing queuing delays, and fairly share the bottleneck with other GCC or TCP flows. We have found that the algorithm works as expected when a GCC flow accesses the bottleneck in isolation, whereas it is not able to provide a fair bandwidth utilization when a GCC flow shares the bottleneck with either a GCC or a TCP flow.

  • L. De Cicco, G. Carlucci, and S. Mascolo
    Experimental Investigation of the Google Congestion Control for Real-Time Flows
    ACM SIGCOMM 2013 Workshop on Future Human-Centric Multimedia Networking, Hong Kong, China, Aug 2013 (PDF)
2013 March

Cisco

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.

  • Principal investigator: S. Mascolo
  • Title : Architecture for Robust and Efficient Control of Dynamic Adaptive Video Streaming over HTTP.

2013 March

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).

  • L. De Cicco and S. Mascolo
    An Adaptive Video Streaming Control System: Modeling, Validation, and Performance Evaluation
    IEEE/ACM Transaction on Networking, April 2014 (PDF)
2016 May

We got the best student paper award for our work:

  • G. Cofano, L. De Cicco, T. Zinner, A. Nguyen-Ngoc, P. Tran-Gia, and S. Mascolo
    Design and Experimental Evaluation of Network-assisted Strategies for HTTP Adaptive Video Streaming
    Proc. ACM Mmsys 2016, Klagenfurt, Austria, May 2016 (PDF)


2015 June
  • S. Holmer, H. Lundin, G. Carlucci, L. De Cicco, and S. Mascolo
    A Google Congestion Control Algorithm for Real-Time Communication
    IETF draft RMCAT wg, draft-alvestrand-rmcat-congestion-03, Jun 2015 (Web: Link)
2014 August

Faculty award 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.

  • Principal investigator: S. Mascolo
  • Title:Congestion Control for Web Real-Time Communication (WebRTC)
  • Press coverage: Link
2014 March
  • H. Lundin, S. Holmer, H. Alvestrand, L. De Cicco, and S. Mascolo
    A Google Congestion Control Algorithm for Real-Time Communication
    IETF draft RMCAT wg, draft-alvestrand-rmcat-congestion-02, Feb 2014 (Web: Link)
2013 November

Our adaptive video streaming platform is used by:

2013 June

In this paper we experimentally evaluate the Google Congestion Control (GCC) which has been recently proposed in the RTCWeb IETF WG. By setting up a controlled testbed, we have evaluated to what extent GCC flows are able to track the available bandwidth, while minimizing queuing delays, and fairly share the bottleneck with other GCC or TCP flows. We have found that the algorithm works as expected when a GCC flow accesses the bottleneck in isolation, whereas it is not able to provide a fair bandwidth utilization when a GCC flow shares the bottleneck with either a GCC or a TCP flow.

  • L. De Cicco, G. Carlucci, and S. Mascolo
    Experimental Investigation of the Google Congestion Control for Real-Time Flows
    ACM SIGCOMM 2013 Workshop on Future Human-Centric Multimedia Networking, Hong Kong, China, Aug 2013 (PDF)
2013 March

Cisco

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.

  • Principal investigator: S. Mascolo
  • Title : Architecture for Robust and Efficient Control of Dynamic Adaptive Video Streaming over HTTP.

2013 March

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).

  • L. De Cicco and S. Mascolo
    An Adaptive Video Streaming Control System: Modeling, Validation, and Performance Evaluation
    IEEE/ACM Transaction on Networking, April 2014 (PDF)