Re: [Idnet] IETF99 for applying AI/ML into network management: Follow-up

Sheng Jiang <jiangsheng@huawei.com> Wed, 26 July 2017 11:12 UTC

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From: Sheng Jiang <jiangsheng@huawei.com>
To: =?iso-8859-1?Q?J=E9r=F4me_Fran=E7ois?= <jerome.francois@inria.fr>, yanshen <yanshen@huawei.com>, "idnet@ietf.org" <idnet@ietf.org>
Thread-Topic: [Idnet] IETF99 for applying AI/ML into network management: Follow-up
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Date: Wed, 26 Jul 2017 11:12:22 +0000
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Subject: Re: [Idnet] IETF99 for applying AI/ML into network management: Follow-up
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> > - the immediate plan is to organize a regular workshop (probably
> > within NMRG). I fully support the idea as this helps to federate the
> > community first to ambition then coordinated actions (regarding the
> > issues with datasets for example). But recall that that will be
> > workshop within a RG group and it is probably too early to identify
> > what should be standardized  (or look at a WG in that case). Looking
> > at the experience with flow measurement workshop (within NMRG as
> > well), it should be more open for presentations and discussions and if a
> potential standard is identified, this can be targeted afterwards.
> > I support the regular workshop (whatever in any form). I fully understand your
> worried about the "too early". However, I think it is better to find a common or
> say a potential standardized point to concentrate the focus. After that, we can
> expand our focus to other valuable area. A details point may help us to clear up
> the thought, during which we may evolve a clear methodology for the future
> work. Of course I totally agree with your open attitude. I mean only to
> concentrate the topic firstly.
> >
> >
> So, why not targeting a WG (rather than a RG because in my understanding
> primary focus of RG is not standardization) ?

Hi, Jerome,

Of course, we would like to target a WG if we could. However, so far, we have not converged at all. It seems there are full of possibilities to apply AI/ML in networks. It seems everybody is talking about their own use cases. Until we converged with one or two very specific use cases that are also generic and significance, or we might find some fundamental functionalities that are generically support various AI use cases, we may not have anything to standardized. So far, we are still in the way to find these work items. So, let's keep discussing use cases and fundamental functionalities. Hopefully, with more discussion, we could reduce our scope to be more and more focus. Then we may have concrete work items to form a WG.

Best regards,

Sheng

> best regards,
> jerome
> 
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