| Riga 4: | Riga 4: | ||
Delay sensitive applications require not only congestion control but also minimization of queuing delays to provide interactivity. | Delay sensitive applications require not only congestion control but also minimization of queuing delays to provide interactivity. | ||
| − | {{Panel|type=primary|icon=graduation-cap|title= | + | {{Panel|type=primary|icon=graduation-cap|title=Controlling Queuing Delays for Real-Time Communication:|body= |
<paper authors="G. Carlucci, L. De Cicco, and S. Mascolo" conference="ACM SIGCOMM Computer Communication Review" date="July 2016" pdf="gcc_aqm.pdf"> | <paper authors="G. Carlucci, L. De Cicco, and S. Mascolo" conference="ACM SIGCOMM Computer Communication Review" date="July 2016" pdf="gcc_aqm.pdf"> | ||
Controlling Queuing Delays for Real-Time Communication: Interplay of E2E and AQM Algorithms | Controlling Queuing Delays for Real-Time Communication: Interplay of E2E and AQM Algorithms | ||
Delay sensitive applications require not only congestion control but also minimization of queuing delays to provide interactivity.
This paper considers the case of real-time communication between web browsers (WebRTC) and we focus on the interplay of an end-to-end delay-based
congestion control algorithm with delay-based AQM algorithms, namely CoDel and PIE, and flow queuing schedulers, i.e. SFQ and Fq Codel.
Delay sensitive applications require not only congestion control but also minimization of queuing delays to provide interactivity.
This paper considers the case of real-time communication between web browsers (WebRTC) and we focus on the interplay of an end-to-end delay-based
congestion control algorithm with delay-based AQM algorithms, namely CoDel and PIE, and flow queuing schedulers, i.e. SFQ and Fq Codel.