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<reference anchor="I-D.ietf-teas-actn-pm-telemetry-autonomics" target="https://datatracker.ietf.org/doc/html/draft-ietf-teas-actn-pm-telemetry-autonomics-14">
   <front>
      <title>YANG models for Virtual Network (VN)/TE Performance Monitoring Telemetry and Scaling Intent Autonomics</title>
      <author initials="Y." surname="Lee" fullname="Young Lee">
         <organization>Samsung Electronics</organization>
      </author>
      <author initials="D." surname="Dhody" fullname="Dhruv Dhody">
         <organization>Huawei</organization>
      </author>
      <author initials="R." surname="Vilalta" fullname="Ricard Vilalta">
         <organization>CTTC</organization>
      </author>
      <author initials="D." surname="King" fullname="Daniel King">
         <organization>Lancaster University</organization>
      </author>
      <author initials="D." surname="Ceccarelli" fullname="Daniele Ceccarelli">
         <organization>Cisco</organization>
      </author>
      <date month="October" day="19" year="2024" />
      <abstract>
	 <t>   This document provides YANG data models that describe the performance
   monitoring parameters and scaling intent mechanisms for TE-tunnels
   and Virtual Networks (VNs).  Their performance monitoring parameters
   are exposed as the key telemetry data for tunnels and VN.

   The models presented in this document allow customers to subscribe to
   and monitor the key performance data of the TE-tunnel or the VN.  The
   models also provide customers with the ability to program autonomic
   scaling intent mechanisms on the level of TE-tunnel as well as VN.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-ietf-teas-actn-pm-telemetry-autonomics-14" />
   
</reference>
