[Fann] Re: Call for adoption: draft-dong-fann-problem-statement-00 (Ends 2026-08-18)

Mike McBride <mmcbride7@gmail.com> Mon, 03 August 2026 13:55 UTC

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From: Mike McBride <mmcbride7@gmail.com>
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CC: CARLOS JESUS BERNARDOS CANO <cjbc@it.uc3m.es>, fann@ietf.org, fann-chairs@ietf.org, draft-dong-fann-problem-statement@ietf.org
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Subject: [Fann] Re: Call for adoption: draft-dong-fann-problem-statement-00 (Ends 2026-08-18)
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I also support adoption and not aware of any IPR
Mike


On Jul 29, 2026, at 2:32 AM, zhuyq8@chinatelecom.cn wrote:



Hi,Carlos and WG, 

As a co-author, I support the adoption and am not aware of any IPR related to this draft.

China Telecom has carried out distributed AI traning/inference services for over two years. In this process, we deployed some technologies, including BFD, TI-LFA, and IOAM,to tackle network challenges caused by AI-related traffic, and achieved a fairly good result. However,with the growth of the service scale, we can hardly find a high cost-effective solution based on those technologies. Thanks. 

B.R.

Yongqing Zhu



 
Date: 2026-07-28 20:02
Subject: Call for adoption: draft-dong-fann-problem-statement-00 (Ends 2026-08-18)
This message starts a fann WG Call for Adoption of:
draft-dong-fann-problem-statement-00
 
This Working Group Call for Adoption ends on 2026-08-18
 
Abstract:
   Many network applications, ranging from Artificial Intelligence (AI)
   /Machine Learning (ML) training/inference to cloud services, require
   networks with various combination of high bandwidth, low delay and
   low jitter and minimal packet loss in data transfer.  This requires
   that the networks must rapidly adapt to the presence of faults,
   degradation and congestion.  However, existing routing and traffic
   management mechanisms often face limitations in responsiveness,
   coverage, and operational complexity, particularly in large-scale and
   high-bandwidth network environments (e.g. data center (DC) and data
   center interconnect (DCI)).  A good and timely understanding of
   network conditions can help to enable faster response to critical
   events, so as to enable the selection of paths with reduced latency
   and improve network utilization.  This document describes the gap
   analysis and the need for fast network notification, and identifies
   the set of problems which a fast network notification solution needs
   to address.
 
Please reply to this message and indicate whether or not you support adoption
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Thank you.
 
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