Subject: [Teas] FW: New Version Notification for draft-lee-teas-actn-pm-telemetry-autonomics-16.txt

From: Leeyoung <[email-masked]>
Date: Thu, 18 Apr 2019 16:27:05 +0000

Hi Pavan and Lou, 

To recap, the revision addressed all your comments in Prague meeting on the generalization of this draft so that it would be applicable in general contexts. And thanks to Tom, all other comments have been incorporated to improve the draft. 

The co-authors believe that this is ready for WG adoption. Please let us know if this is the case; otherwise, let us know what needs further to be done. 

Thanks & Best regards,
Young (on behalf of co-authors)

-----Original Message-----
From: [email-masked] [mailto:[email-masked]] 
Sent: Thursday, April 18, 2019 11:18 AM
To: Daniele Ceccarelli <[email-masked]>; Satish Karunanithi <[email-masked]>; Leeyoung <[email-masked]>; Dhruv Dhody <[email-masked]>; Daniel King <[email-masked]>; Ricard Vilata <[email-masked]>; Ricard Vilalta <[email-masked]>
Subject: New Version Notification for draft-lee-teas-actn-pm-telemetry-autonomics-16.txt

A new version of I-D, draft-lee-teas-actn-pm-telemetry-autonomics-16.txt
has been successfully submitted by Young Lee and posted to the IETF repository.

Name:		draft-lee-teas-actn-pm-telemetry-autonomics
Revision:	16
Title:		YANG models for VN & TE Performance Monitoring Telemetry and Scaling Intent Autonomics
Document date:	2019-04-18
Group:		Individual Submission
Pages:		29
URL:            https://www.ietf.org/internet-drafts/draft-lee-teas-actn-pm-telemetry-autonomics-16.txt
Status:         https://datatracker.ietf.org/doc/draft-lee-teas-actn-pm-telemetry-autonomics/
Htmlized:       https://tools.ietf.org/html/draft-lee-teas-actn-pm-telemetry-autonomics-16
Htmlized:       https://datatracker.ietf.org/doc/html/draft-lee-teas-actn-pm-telemetry-autonomics
Diff:           https://www.ietf.org/rfcdiff?url2=draft-lee-teas-actn-pm-telemetry-autonomics-16

Abstract:
   This document provides YANG data models that describe performance
   monitoring telemetry and scaling intent mechanism for TE-tunnels and
   Virtual Networks (VN).

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

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