(14 versioni intermedie di 3 utenti non mostrate)
Riga 1: Riga 1:
<div class='news' style='color:#000000'>
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{{NewsItem|2018 January|
<absHTML><img src="http://research.google.com/images/faculty_award.png" alt="Smiley face" width="240" > </img>  
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'''Saverio Mascolo''' has been elevated to the grade of IEEE Fellow for ''contributions to modeling and control of congestion in packet networks''.
</absHTML>
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}}
<span class='date'>2014 August</span>
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{{NewsItem|2016 May|
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We got the '''best student paper award''' at the '''MMSYS 2016''' conference for our work:
 +
 
 +
<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">
 +
Design and Experimental Evaluation of Network-assisted Strategies for HTTP Adaptive Video Streaming
 +
</paper>
 +
}}
 +
{{NewsItem|2015 June|
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<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>
 +
}}
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{{NewsItem|2014 August|<absHTML><img class="pull-right" src="http://c3lab.poliba.it/images/e/e8/Google-award.png" alt="Faculty award" width="180"></img></absHTML>
 
<b>Google Faculty Award 2014</b> for designing a congestion control algorithm for real-time communication within the WebRTC framework to enable  video conference among Web browsers.
 
<b>Google Faculty Award 2014</b> for designing a congestion control algorithm for real-time communication within the WebRTC framework to enable  video conference among Web browsers.
 
<ul>
 
<ul>
<li>Principal investigator: <b> S. Mascolo </b></li>
+
<li>Principal investigator: <b>S. Mascolo</b></li>
<li>Title:<b>Congestion Control for Web Real-Time Communication (WebRTC)</b>
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<li>Title:<b>Congestion Control for Web Real-Time Communication (WebRTC)</b></li>
</li>
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<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]
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</ul>}}
</li>
 
</ul>
 
 
 
</div>
 
  
<div class='news' style='color:#000000'>
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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>  
<span class='date'>2014 March</span>
 
<paper authors="H. Lundin, S. Holmer, H. Alvestrand, L. De Cicco, and S. Mascolo" conference="IETF draft RMCAT wg" place="draft-alvestrand-rmcat-congestion-02" date="Feb 2014" url="http://tools.ietf.org/id/draft-alvestrand-rmcat-congestion-02.txt">
 
A Google Congestion Control Algorithm for Real-Time Communication                 
 
</paper>
 
</div>
 
 
 
<div class='news' style='color:#000000'>
 
<span class='date'>2013 Nov</span>
 
Our adaptive video streaming platform is used by:
 
 
 
* The [http://webtv.poliba.it Politecnico di Bari WebTV] to stream live events
 
* [http://quavstreams.quavlive.com/user/apuliafilmcommission/ Apulia Film Commission] to stream short movies produced in the context of the "Progetto Memoria 2009".
 
</div>
 
 
 
<div class='news' style='color:#000000'>
 
<span class='date'>2013 June</span>
 
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.
 
<paper authors="L. De Cicco, G. Carlucci, and S. Mascolo" conference="ACM SIGCOMM 2013 Workshop on Future Human-Centric Multimedia Networking" place="Hong Kong, China" date="Aug 2013" pdf="webrtc_cc-Fhcmn2013.pdf">
 
Experimental Investigation of the Google Congestion Control for Real-Time Flows</paper>
 
</div>
 
 
 
<div class='news' style='color:#000000'>
 
<absHTML><img src="http://www.networks.imdea.org/portals/7/imagenes/actualidad/ciscofinal.gif" alt="Smiley face" width="130" > </img>  
 
 
</absHTML>
 
</absHTML>
<span class='date'>2013 March</span>
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<b>Cisco  Award 2013</b> 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.  
<b> Cisco  Award 2013 </b> 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. The first part of the proposal will investigate, using a rigorous mathematical control approach, the advantage of designing a server-side with respect to a client-side adaptation method such as the one supported by Apple, Akamai or Microsoft IIS. The mathematical model will take into account propagation delays that play a critical role in such control system and it will be rigorous and yet simple so that it will provide a tool for easy designing and tuning of the control. The second part of the proposal will implement the adaptive video streaming system first on a single server located in our lab and then in a Amazon EC2 cloud or a ""Cisco Multimedia Cloud"" aiming at further deployment in production networks.
 
<br>
 
<br>
 
 
<ul>
 
<ul>
 
<li>Principal investigator: <b> S. Mascolo </b> </li>  
 
<li>Principal investigator: <b> S. Mascolo </b> </li>  
 
<b>Title : Architecture for Robust and Efficient Control of Dynamic Adaptive Video Streaming over HTTP.</b>
 
<b>Title : Architecture for Robust and Efficient Control of Dynamic Adaptive Video Streaming over HTTP.</b>
</ul>
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</ul>}}
</div>
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{{NewsItem|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 (<absHTML><a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6493502">IEEE explore link</a></absHTML>).
 
+
<paper authors="L. De Cicco and S. Mascolo" conference="IEEE/ACM Transaction on Networking" date="April 2014" pdf="avs_tnet_decicco_mascolo.pdf">
<div class='news' style='color:#000000'>
+
An  Adaptive Video Streaming Control System: Modeling, Validation, and Performance Evaluation</paper>
<span class='date'>2013 March</span>
+
}}
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.
 
<paper authors="L. De Cicco and S. Mascolo" conference="IEEE/ACM Transaction on Networking" date="in press" pdf="avs_tnet_decicco_mascolo.pdf" >
 
An  Adaptive Video Streaming Control System: Modeling, Validation, and Performance Evaluation
 
</paper>
 
[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6493502 IEEE explore link]
 
</div>
 

Versione attuale delle 11:55, 30 Gen 2019

2018 January

Saverio Mascolo has been elevated to the grade of IEEE Fellow for contributions to modeling and control of congestion in packet networks.

2016 May

We got the best student paper award at the MMSYS 2016 conference 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


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)

Smiley face

2014 August 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 Nov 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)

Smiley face

2013 March 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. The first part of the proposal will investigate, using a rigorous mathematical control approach, the advantage of designing a server-side with respect to a client-side adaptation method such as the one supported by Apple, Akamai or Microsoft IIS. The mathematical model will take into account propagation delays that play a critical role in such control system and it will be rigorous and yet simple so that it will provide a tool for easy designing and tuning of the control. The second part of the proposal will implement the adaptive video streaming system first on a single server located in our lab and then in a Amazon EC2 cloud or a ""Cisco Multimedia Cloud"" aiming at further deployment in production networks.

  • 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.

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

IEEE explore link