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Modeling Video Traffic Sources for RMCAT Evaluations
draft-zhu-rmcat-video-traffic-source-02

Document Type Replaced Internet-Draft (individual)
Expired & archived
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This Internet-Draft is no longer active.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.)