Non si dispone dei permessi necessari per modificare questa pagina, per il seguente motivo:

La funzione richiesta è riservata agli utenti che appartengono al gruppo: Utenti.


È possibile visualizzare e copiare il codice sorgente di questa pagina.

Templates used on this page:

Torna a MultimediaCC.

Congestion Control for Multimedia Applications[edit]

The congestion control for multimedia applications (Voice over IP, video on demand) is an open issue. We have investigated the congestion control strategies employed by leading multimedia applications such as the WebRTC framework, currently used by Google Hangouts and Skype for VoIP We have found that both applications do not employ an efficient congestion control scheme. We are designing, implementing and experimenting a congestion control algorithm for real-time traffic over the Web.

System Architecture

WebRTC Congestion Control[edit]

Nowadays, the Internet is rapidly evolving to become an equally efficient platform for multimedia content delivery. Key examples are YouTube, Skype Audio/Video, IPTV, P2P video distribution platforms such as Coolstreaming or Joost, to name few. While YouTube streams videos using the Transmission Control Protocol (TCP), applications that are time-sensitive such as Video Conferencing employ the UDP because they can tolerate small loss percentages but not delays due to TCP recovery of losses via retransmissions. Since the UDP does not implement congestion control, these applications must implement those functionalities at the application layer. In these papers we experimentally evaluate the Google Congestion Control (GCC) which has been proposed in the RMCAT 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.

Google Congestion Control Architecture


Skype Video Congestion Control Responsiveness to Bandwidth Variations[edit]

This paper investigates Skype Video in order to discover at what extent this application is able to throttle its sending rate to match the unpredictable Internet bandwidth while preserving resource for co-existing best-effort TCP traffic.

Quality Adaptation for Video Conference Applications[edit]

Check also a comparison between BEST video application and Skype video over a variable bandwidth. Click on the image to go to the demo.


Skype VoIP Congestion Control[edit]

Skype is the most popular VoIP application with over 250 million userbase spread all over the world. It is important to study how skype reacts to packet losses in order to infer if a huge amount of skype calls can result in a congestion collapse.

Next figures summarize main findings (more can be found in the paper: "An Experimental Investigation of the Congestion Control Used by Skype VoIP" pdf and slides).

Skype implements some mechanism to adapt the input rate to the available bandwidth[edit]

One Skype flow over a square waveform available bandwidth

The figure shows the sending rate, the loss rate and the available bandwidth. It can be noticed that Skype adapts its sending rate when the available bandwidth decreases but this adaptation takes 40s, thus leading to high packet loss rates.

Skype adapts to the available bandwidth very slowly[edit]

For the before mentioned reason Skype is not able to cope with sudden bandwidth variations as it can be seen in the next figure.

One Skype flow over a square waveform available bandwidth (higher frequency than before)


Skype is not TCP friendly[edit]

Skype's response to bandwidth variation is sluggish and leads to unfriendliness with respect to TCP flows.

One Skype flow versus one TCP flow

The Figure above shows that TCP connection suffers a large number of timeouts.

Skype is not able to guarantee fairness either[edit]

Two Skype calls have been placed flowing in the same bottleneck in order to investigate if Skype's congestion control is able to guarantee fairness.

Two Skype flows sharing the same bottleneck

Relevant bibliography[edit]



This page is mantained by Luca De Cicco, please send feedback to ldecicco at gmail DOT com