Packet Loss measurement Model
draft-bhaprasud-ippm-pm-02

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IPPM Working Group                                          B. M Gaonkar
Internet-Draft                                                  S. Jacob
Intended status: Standards Track                                 Juniper
Expires: September 6, 2017                                   G. Fioccola
                                                          Telecom Italia
                                                                   Q. Wu
                                                                  Huawei
                                                      P. Ananthasankaran
                                                                   Nokia
                                                           March 5, 2017

                     Packet Loss measurement Model
                       draft-bhaprasud-ippm-pm-02

Abstract

   This document defines the loss measurement matrix models for service
   level packets on the network which can be implemented in different
   kind of network scenarios.

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Internet-Draft        Packet Loss measurement Model           March 2017

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Table of Contents

   1.  Introduction  . . . . . . . . . . . . . . . . . . . . . . . .   2
   2.  Conventions used in this document . . . . . . . . . . . . . .   3
   3.  Traffic Management Architecture . . . . . . . . . . . . . . .   5
     3.1.  Selection Process . . . . . . . . . . . . . . . . . . . .   5
     3.2.  Metering Process  . . . . . . . . . . . . . . . . . . . .   6
   4.  Loss Measurement Models . . . . . . . . . . . . . . . . . . .   6
     4.1.  Complete data measurement (Monitoring all the traffic)  .   6
     4.2.  Color based data measurement  . . . . . . . . . . . . . .   6
     4.3.  COS based Data measurement  . . . . . . . . . . . . . . .   7
     4.4.  COS and color based Data measurement  . . . . . . . . . .   7
   5.  Active and Passive performance measurements . . . . . . . . .   7
   6.  Use Cases . . . . . . . . . . . . . . . . . . . . . . . . . .   8
   7.  Acknowledgements  . . . . . . . . . . . . . . . . . . . . . .   9
   8.  Security Considerations . . . . . . . . . . . . . . . . . . .   9
   9.  IANA Considerations . . . . . . . . . . . . . . . . . . . . .   9
   10. References  . . . . . . . . . . . . . . . . . . . . . . . . .   9
     10.1.  Normative References . . . . . . . . . . . . . . . . . .   9
     10.2.  Informative References . . . . . . . . . . . . . . . . .   9
   Authors' Addresses  . . . . . . . . . . . . . . . . . . . . . . .  10

1.  Introduction

   Today, Performance monitoring or tracking of the performance
   experienced by customer traffic is a key technology to strengthen
   service offering based on enhanced QoE and SLAs.  The lack of
   adequate tools to detect an interesting subset of a Packet Stream, as
   identified by a particular packet attribute(e.g., commit rate or
   DSCP) and measure that packet loss drives an effort to design a new
   method for the performance monitoring of live traffic, possibly easy
   to implement and deploy.  The draft aims to define loss measurement
   matrix models for multiple customer service flows on the network.
   Each customer service flow is corresponding to an interesting subset
   of the same packet stream.  The customer or packet stream can be
   identified by a list of source or destination prefixes, or by ingress
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