Re: [Idnet] Intelligence-Defined Network Architecture and Call for Interests

"Wei Jiang" <wei.jiang@dfki.de> Thu, 30 March 2017 14:43 UTC

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From: "Wei Jiang" <wei.jiang@dfki.de>
To: "'Manav Bhatia'" <manavbhatia@gmail.com>, "'Sheng Jiang'" <jiangsheng@huawei.com>
Cc: <idnet@ietf.org>
References: <5D36713D8A4E7348A7E10DF7437A4B927CD15A18@NKGEML515-MBS.china.huawei.com> <CAG1kdoj6MLHD8M1tCAmZiD+vcaWMC0CMwMTczCLXdeSkVqO+vQ@mail.gmail.com>
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Date: Thu, 30 Mar 2017 16:43:00 +0200
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Subject: Re: [Idnet] Intelligence-Defined Network Architecture and Call for Interests
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Hi Manav,

 

I am working on SELFNET project (one of the nineteen H2020 5G-PPP Phase 1 projects: https://5g-ppp.eu/5g-ppp-phase-1-projects/ ), which was driven by the motivation of applying Machine Learning to autonomically manage the SDN/NFV-based 5G networks (https://selfnet-5g.eu/ ).

Three Use Cases, i.e., Self-Healing, Self-Protection, and Self-Optimization, are exploring, and have been specified in D2.2 (https://bscw.selfnet-5g.eu/pub/bscw.cgi/d18751-4/*/*/*/*/DOI-D2.1.html ).

 

Don’t know whether we can find some synergies.

 

My 2 cents.

 

Best regards,

Wei Jiang

 

From: IDNET [mailto:idnet-bounces@ietf.org] On Behalf Of Manav Bhatia
Sent: Wednesday, March 29, 2017 4:13 AM
To: Sheng Jiang
Cc: idnet@ietf.org
Subject: Re: [Idnet] Intelligence-Defined Network Architecture and Call for Interests

 

Hi,

 

I am looking at machine learning for predictive analytics. We are building an SDN controller that has access to large volumes of network data and events. We can look at traffic shifts over a period of time and look for underlying patterns in that and use that to predict how the network services could be provisioned.

 

Do we have any use case document that describes how we could apply machine learning/advanced analytics principles in the networking domain?

 

Cheers, Manav

 

On Tue, Mar 28, 2017 at 9:59 PM, Sheng Jiang <jiangsheng@huawei.com <mailto:jiangsheng@huawei.com> > wrote:

Hi, all,

Although there are many understanding for Intelligence-Defined Network, we are actually using this IDN as a term reference to the SDN-beyond architecture that we presented in IETF97, see the below link. A reference model is presented in page 3, while potential standardization works is presented in page 9.

https://www.ietf.org/proceedings/97/slides/slides-97-nmlrg-intelligence-defined-network-01.pdf

Although it might be a little bit too early for AI/ML in network giving the recent story of the concluded proposed NMLRG, we still would like to call for interests in IDN. Anybody (on site in Chicago this week) are interested in this or even wider topics regarding to AI/ML in network, please contact me on jiangsheng@huawei.com <mailto:jiangsheng@huawei.com>  . Then we may have an informal meeting to discuss some common interests and potential future activities (not any activities in IETF, but also other STO or experimental trails, etc.)  on Thursday morning.

FYI, we have already working on a Work Item, called IDN in the ETSI NGP (Next Generation Protocol) ISG, links below.

https://portal.etsi.org/tb.aspx?tbid=844 <https://portal.etsi.org/tb.aspx?tbid=844&SubTB=844> &SubTB=844
https://portal.etsi.org/webapp/WorkProgram/Report_WorkItem.asp?WKI_ID=51011

Meanwhile, please do use this mail list as a forum to discuss any topics that may applying AI/ML into network area.

Best regards,

Sheng
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