Performance Measurement Models
draft-bhaprasud-ippm-pm-03

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IPPM Working Group                                          B. M Gaonkar
Internet-Draft                                                  S. Jacob
Intended status: Standards Track                                 Juniper
Expires: December 26, 2017                                   G. Fioccola
                                                          Telecom Italia
                                                                   Q. Wu
                                                                  Huawei
                                                      P. Ananthasankaran
                                                                   Nokia
                                                           June 24, 2017

                     Performance Measurement Models
                       draft-bhaprasud-ippm-pm-03

Abstract

   This document defines the performance measurement models for service
   level packets on the network which can be implemented in different
   kind of network scenarios.  Based on the performance matrix, the
   analytics data can be pulled from a live network which is not
   possible at present.This can be used for self evolving networks.

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   This document is subject to BCP 78 and the IETF Trust's Legal
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Internet-Draft       Performance Measurement Models            June 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.  Performance Measurement Models  . . . . . . . . . . . . . . .   6
     4.1.  Complete data measurement (Monitoring all the traffic)  .   6
     4.2.  Color based data measurement  . . . . . . . . . . . . . .   7
     4.3.  CoS based Data measurement  . . . . . . . . . . . . . . .   7
     4.4.  CoS and Color based Data measurement  . . . . . . . . . .   8
   5.  Active and Passive performance measurements . . . . . . . . .   8
   6.  Use Cases . . . . . . . . . . . . . . . . . . . . . . . . . .   8
   7.  Acknowledgements  . . . . . . . . . . . . . . . . . . . . . .   9
   8.  Security Considerations . . . . . . . . . . . . . . . . . . .   9
   9.  References  . . . . . . . . . . . . . . . . . . . . . . . . .  10
     9.1.  Normative References  . . . . . . . . . . . . . . . . . .  10
     9.2.  Informative References  . . . . . . . . . . . . . . . . .  10
   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 and verify service level agreement between customers
   and service providers, perform troubleshooting.  The lack of adequate
   monitoring 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 provide fine granularity
   loss, delay and delay variation measurement and define a performance
   measurement model on customer traffic based on a set of constraints
   that are associated with service level agreement such as cos
   attribute, color attribute.  Each customer traffic is corresponding
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