Modeling Video Traffic Sources for RMCAT Evaluations
draft-ietf-rmcat-video-traffic-model-02

Document Type Active Internet-Draft (rmcat WG)
Last updated 2017-01-08
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: July 12, 2017                                         Z. Sarker
                                                             Ericsson AB
                                                         January 8, 2017

          Modeling Video Traffic Sources for RMCAT Evaluations
                draft-ietf-rmcat-video-traffic-model-02

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.

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   Copyright (c) 2017 IETF Trust and the persons identified as the
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   This document is subject to BCP 78 and the IETF Trust's Legal
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   (http://trustee.ietf.org/license-info) in effect on the date of

Zhu, et al.               Expires July 12, 2017                 [Page 1]
Internet-Draft  Modelling Video Traffic Sources for RMCAT   January 2017

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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 transient  . . . .   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 . .   9
     6.2.  Using the traces in the syntethic codec . . . . . . . . .  11
       6.2.1.  Main algorithm  . . . . . . . . . . . . . . . . . . .  11
       6.2.2.  Notes to the main algorithm . . . . . . . . . . . . .  12
     6.3.  Varying frame rate and resolution . . . . . . . . . . . .  13
   7.  Combining The Two Models  . . . . . . . . . . . . . . . . . .  14
   8.  Implementation Status . . . . . . . . . . . . . . . . . . . .  15
   9.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .  15
   10. References  . . . . . . . . . . . . . . . . . . . . . . . . .  15
     10.1.  Normative References . . . . . . . . . . . . . . . . . .  15
     10.2.  Informative References . . . . . . . . . . . . . . . . .  15
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  16

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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