Video Traffic Models for RTP Congestion Control Evaluations
draft-ietf-rmcat-video-traffic-model-06

Document Type Active Internet-Draft (rmcat WG)
Last updated 2018-11-03
Replaces draft-zhu-rmcat-video-traffic-source
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Network Working Group                                             X. Zhu
Internet-Draft                                                   S. Mena
Intended status: Informational                             Cisco Systems
Expires: May 7, 2019                                           Z. Sarker
                                                             Ericsson AB
                                                        November 3, 2018

      Video Traffic Models for RTP Congestion Control Evaluations
                draft-ietf-rmcat-video-traffic-model-06

Abstract

   This document describes two reference video traffic models for
   evaluating RTP congestion control 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 output of actual encoded video
   frame sizes from a high-resolution test sequence.  Both models are
   designed to strike a balance between simplicity, repeatability, and
   authenticity in modeling the interactions between a live video
   traffic source and the congestion control module.  Finally, the
   document describes how both approaches can be combined into a hybrid
   model.

Status of This Memo

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Copyright Notice

   Copyright (c) 2018 IETF Trust and the persons identified as the
   document authors.  All rights reserved.

Zhu, et al.                Expires May 7, 2019                  [Page 1]
Internet-DraftVideo Traffic Models for RTP Congestion ContrNovember 2018

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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
   2.  Terminology . . . . . . . . . . . . . . . . . . . . . . . . .   3
   3.  Desired Behavior of A Synthetic Video Traffic Model . . . . .   3
   4.  Interactions Between Synthetic Video Traffic Source and
       Other Components at the Sender  . . . . . . . . . . . . . . .   4
   5.  A Statistical Reference Model . . . . . . . . . . . . . . . .   6
     5.1.  Time-damped response to target rate update  . . . . . . .   7
     5.2.  Temporary burst and oscillation during the transient
           period  . . . . . . . . . . . . . . . . . . . . . . . . .   8
     5.3.  Output rate fluctuation at steady state . . . . . . . . .   8
     5.4.  Rate range limit imposed by video content . . . . . . . .   9
   6.  A Trace-Driven Model  . . . . . . . . . . . . . . . . . . . .   9
     6.1.  Choosing the video sequence and generating the traces . .  10
     6.2.  Using the traces in the synthetic codec . . . . . . . . .  11
       6.2.1.  Main algorithm  . . . . . . . . . . . . . . . . . . .  11
       6.2.2.  Notes to the main algorithm . . . . . . . . . . . . .  13
     6.3.  Varying frame rate and resolution . . . . . . . . . . . .  13
   7.  Combining The Two Models  . . . . . . . . . . . . . . . . . .  14
   8.  Implementation Status . . . . . . . . . . . . . . . . . . . .  15
   9.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  16
   10. Security Considerations . . . . . . . . . . . . . . . . . . .  16
   11. References  . . . . . . . . . . . . . . . . . . . . . . . . .  16
     11.1.  Normative References . . . . . . . . . . . . . . . . . .  16
     11.2.  Informative References . . . . . . . . . . . . . . . . .  16
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  17

1.  Introduction

   When evaluating candidate congestion control algorithms designed for
   real-time interactive media, it is important to account for the
   characteristics of traffic patterns generated from a live video
   encoder.  Unlike synthetic traffic sources that can conform perfectly
   to the rate changing requests from the congestion control module, a
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