Minutes IETF110: nmrg

Meeting Minutes Network Management (nmrg) RG
Title Minutes IETF110: nmrg
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Last updated 2021-04-07

Meeting Minutes

NMRG 60th meeting
IETF 110, Online

Monday, March 08, 2021, 16:00-18:00 (UTC), Room 5

RG Chairs:
* Laurent Ciavaglia
* Jéröme François

RG Secretaries
* Jéferson Campos Nobre
* Pedro Martinez-Julia

Useful links:
    Materials: https://datatracker.ietf.org/meeting/110/session/nmrg
    Video recording: https://youtu.be/4SyQA_kdlcU



1) Introduction, RG Chairs, 5 min.

2) Status on active Internet Drafts (35 min.)

- Concepts of Digital Twin Network, Cheng Zhou, 10 min. + Q&A

        Q&A: --> questions and comments to the mailing list
        Laurent (Chat): do you intend to describe telco/network specific
        research questions? or survey technology enablers? What are the goals
        of the draft in the context of NMRG? Diego: The plan is to consolidate
        the framework and identify challenges and (some) solutions Philip
        (chat): Applying the concepts from existing uses in networking, seems a
        step up in complexity and scale? Any ideas how to overcome those
        challenges? are there promising/recommended approaches? Is that in
        scope of the document? Diego (chat): The idea is to apply the same
        principles used by current DTs in industrial environments: apply AI
        models to build a synthetic environment that would support management
        decisions. Approaches are being considered and, in fact, we have a
        proto-DTN in our lab we call the “Mouseworld” that we are currently
        using to generate datasets for ML training and verification Philip
        (chat): Would be interesting to hear about those approaches, how well
        they work, compromises etc. I think that would be the really
        interesting part of the document! Laurent (chat): see DTN has having
        both engineering and research challenges. In the context of NMRG
        (IRTF), it would be good to lay down these two sets of
        questions/challenges. Qin (chat): Our suggestion and approach is to
        move from simulation to emulation, provide emulation in real time which
        is built on top of real time telemetry technology. With digital twin
        platform, we can integrate continuous verification, test what if
        senarios. Laurent (chat): DTN topic: do you want to have a dedicated
        NMRG interim to digital twin? (or we could aim to organize this as part
        of a conference, e.g. IM 2021)

- Intent Classification (in RG last call), Olga Havel 5 min. + Q&A

        Q&A: Philip (chat): I didn’t understand what the different colours
        and symbol (tick and cross) meant, please could you explain Benoît
        (chat): I will review the draft, for sure. One observation already. The
        draft would benefit from using the intent definition from the concepts
        and definitions draft and not its own definition. Note: this is why I
        reviewed the concepts and definitions draft first.

- Network Measurement Intent, Danyang Chen 5 min. + Q&A

2) Technical talks on Intent-based Networking (50 min.)

- Automated Performance Evaluation of Intent-based Virtual Network Systems,
Kazuki Tanabe, 15 min. + Q&A

- SDN Heading North: Towards a Declarative Intent-based Northbound Interface,
Shiyam Alalmaei, 10 min. + Q&A

        Laurent: lots of state of the art on e.g. ontologies and semantic
        graphs, etc. to my limited knowledge, there are dynamic approaches
        (loading /learning concepts/terms from other domains) Shiyam: Our
        current state of intent/policy mapping, it’s still static and
        predefined. However, we are aiming to integrate the Non-functional
        Requirements (NFR) Framework which helps to evaluate different possible
        mapping alternatives to microservices based on the evaluation criteria
        (i.e., NFRs). This could help with the automated mapping between
        intents and their corresponding microservices based on the evaluation

- An Intent Demonstration in an Adaptive Policy Environment, Joseph McNamara,
15 min. + Q&A http://dl.ifip.org/db/conf/cnsm/cnsm2020/1570679866.pdf

3) Technical talks on AI for Network Management and Operation (30 min.)

- Self-Driving Network and Service Coordination Using Deep Reinforcement
Learning, Stefan Schneider, 15 min. + Q&A

       Stuart Card: Causal reasoning?
       Stefan: not yet investigated
       Jerome: any good method to define the reward function rather than just
       test/try Stefan: not really, no cookbook for reward function.

Problems and Strategies implementing in-network AI models, Matthews Jose