Paper review : Quality Adaptation for Congestion Controlled Video Playback
over the Internet (RHE99)
Reviewer : Hai Fang (email@example.com)
To provide an AIMD based unicast congestion control machanism for the streaming
audio and video applications.
This paper presents an efficient scheme that dynamically adjusts the buffer
distribution among the active layers as the available bandwidth changes.
This scheme also allows the server to trade short-term improvement for long-term
smoothing of quality by introducing a smoothing parameter.
- Main ideas
- For multimedia applications, frequent variations in the transmission affects
the quality severely, and the applications should provide a end-to-end machanism
to solve this problem.
- Layer adding and dropping provides more flexibility to layered encoding.
- The server may use a smoothing parameter to trade the long-term and short-term
- Significance rating: 3
Streaming audio and video applications are becoming increasingly popular on the
Internet. The machanism presented in this paper give a good investigation on
how the applications can overcome the bandwidth fluctuations on the Internet
by adopting an end-to-end machanism.
- Convincing rating
The author use the analysis and simulation methods to prove the efficency of the
machnism, but seems the authors didn't try it on the Internet. It seems like layer
addition and dropping is defined on each specific subflow, so do we need to know the
exact variation for each subflow? If so, is the machanism still scalable?
This work is for the unicast congestion control instead of the multicast context.
It is based on the AIMD algorithm instead of a more general congestion control
context. It also needs the applications divided the multimedia into several layers
Much topics are available in the field of the quality of service.