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)
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)