Shared Bottleneck Detection for Coupled Congestion Control for RTP Media.
draft-ietf-rmcat-sbd-04

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RTP Media Congestion Avoidance Techniques                  D. Hayes, Ed.
Internet-Draft                                        University of Oslo
Intended status: Experimental                                  S. Ferlin
Expires: September 22, 2016                   Simula Research Laboratory
                                                                M. Welzl
                                                               K. Hiorth
                                                      University of Oslo
                                                          March 21, 2016

   Shared Bottleneck Detection for Coupled Congestion Control for RTP
                                 Media.
                        draft-ietf-rmcat-sbd-04

Abstract

   This document describes a mechanism to detect whether end-to-end data
   flows share a common bottleneck.  It relies on summary statistics
   that are calculated by a data receiver based on continuous
   measurements and regularly fed to a grouping algorithm that runs
   wherever the knowledge is needed.  This mechanism complements the
   coupled congestion control mechanism in draft-ietf-rmcat-coupled-cc.

Status of This Memo

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Copyright Notice

   Copyright (c) 2016 IETF Trust and the persons identified as the
   document authors.  All rights reserved.

   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

Hayes, et al.          Expires September 22, 2016               [Page 1]
Internet-Draft         SBD for CCC with RTP Media             March 2016

   publication of this document.  Please review these documents
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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   3
     1.1.  The signals . . . . . . . . . . . . . . . . . . . . . . .   3
       1.1.1.  Packet Loss . . . . . . . . . . . . . . . . . . . . .   3
       1.1.2.  Packet Delay  . . . . . . . . . . . . . . . . . . . .   3
       1.1.3.  Path Lag  . . . . . . . . . . . . . . . . . . . . . .   4
   2.  Definitions . . . . . . . . . . . . . . . . . . . . . . . . .   4
     2.1.  Parameters and their Effect . . . . . . . . . . . . . . .   7
     2.2.  Recommended Parameter Values  . . . . . . . . . . . . . .   8
   3.  Mechanism . . . . . . . . . . . . . . . . . . . . . . . . . .   8
     3.1.  SBD feedback requirements . . . . . . . . . . . . . . . .   9
       3.1.1.  Feedback when all the        logic is placed at
               the sender  . . . . . . . . . . . . . . . . . . . . .  10
       3.1.2.  Feedback when the         statistics are
               calculated at the         receiver and SBD at
               the sender  . . . . . . . . . . . . . . . . . . . . .  10
       3.1.3.  Feedback when         bottlenecks         can be
               determined at         both senders         and
               receivers . . . . . . . . . . . . . . . . . . . . . .  11
     3.2.  Key metrics and their calculation . . . . . . . . . . . .  11
       3.2.1.  Mean delay  . . . . . . . . . . . . . . . . . . . . .  11
       3.2.2.  Skewness Estimate . . . . . . . . . . . . . . . . . .  11
       3.2.3.  Variability Estimate  . . . . . . . . . . . . . . . .  12
       3.2.4.  Oscillation Estimate  . . . . . . . . . . . . . . . .  12
       3.2.5.  Packet loss . . . . . . . . . . . . . . . . . . . . .  13
     3.3.  Flow Grouping . . . . . . . . . . . . . . . . . . . . . .  13
       3.3.1.  Flow Grouping Algorithm . . . . . . . . . . . . . . .  13
       3.3.2.  Using the flow group signal . . . . . . . . . . . . .  15
     3.4.  Removing Noise from the Estimates . . . . . . . . . . . .  15
       3.4.1.  Oscillation noise . . . . . . . . . . . . . . . . . .  15
       3.4.2.  Clock skew  . . . . . . . . . . . . . . . . . . . . .  16
     3.5.  Reducing lag and Improving        Responsiveness  . . . .  16
       3.5.1.  Improving the response of    the skewness estimate  .  17
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