Modeling Video Traffic Sources for RMCAT Evaluations
draft-zhu-rmcat-video-traffic-source-02
Document | Type |
Replaced Internet-Draft
(individual)
Expired & archived
|
|
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Authors | Xiaoqing Zhu , Sergio Mena de la Cruz , Zaheduzzaman Sarker | ||
Last updated | 2016-01-07 (Latest revision 2015-07-06) | ||
Replaced by | draft-ietf-rmcat-video-traffic-model | ||
RFC stream | (None) | ||
Intended RFC status | (None) | ||
Formats | |||
Stream | Stream state | (No stream defined) | |
Consensus boilerplate | Unknown | ||
RFC Editor Note | (None) | ||
IESG | IESG state | Replaced by draft-ietf-rmcat-video-traffic-model | |
Telechat date | (None) | ||
Responsible AD | (None) | ||
Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
This document describes two reference video traffic source models for evaluating RMCAT candidate algorithms. The first model statistically characterizes the behavior of a live video encoder in response to changing requests on target video rate. The second model is trace- driven, and emulates the encoder output by scaling the pre-encoded video frame sizes from a widely used video test sequence. Both models are designed to strike a balance between simplicity, repeatability, and authenticity in modeling the interactions between a video traffic source and the congestion control module.
Authors
Xiaoqing Zhu
Sergio Mena de la Cruz
Zaheduzzaman Sarker
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)