[Idr] FW: New Version Notification for draft-geng-fantel-fantel-gap-analysis-00.txt

Xuesong Geng <gengxuesong@huawei.com> Tue, 10 June 2025 08:58 UTC

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From: Xuesong Geng <gengxuesong@huawei.com>
To: "fantel@ietf.org" <fantel@ietf.org>
Thread-Topic: New Version Notification for draft-geng-fantel-fantel-gap-analysis-00.txt
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Date: Tue, 10 Jun 2025 08:58:12 +0000
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Subject: [Idr] FW: New Version Notification for draft-geng-fantel-fantel-gap-analysis-00.txt
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Dear all,

We have just uploaded a new document about Gap Analysis for Fantel. 
It will be appreciated if you could review the document and any comment is welcome!

Best
Xuesong

-----Original Message-----
From: internet-drafts@ietf.org [mailto:internet-drafts@ietf.org] 
Sent: Monday, June 9, 2025 9:52 AM
To: Dan Li <tolidan@tsinghua.edu.cn>; Han Zhengxin <hanzx21@chinaunicom.cn>; PengFei Huo <huopengfei@bytedance.com>; Weiqiang Cheng <chengweiqiang@chinamobile.com>; Xuesong Geng <gengxuesong@huawei.com>; Yongqing Zhu <zhuyq8@chinatelecom.cn>; Zhengxin Han <hanzx21@chinaunicom.cn>
Subject: New Version Notification for draft-geng-fantel-fantel-gap-analysis-00.txt

A new version of Internet-Draft draft-geng-fantel-fantel-gap-analysis-00.txt
has been successfully submitted by Xuesong Geng and posted to the IETF repository.

Name:     draft-geng-fantel-fantel-gap-analysis
Revision: 00
Title:    Gap Analysis of Fast Notification for Traffic Engineering and Load Balancing
Date:     2025-06-09
Group:    Individual Submission
Pages:    9
URL:      https://www.ietf.org/archive/id/draft-geng-fantel-fantel-gap-analysis-00.txt
Status:   https://datatracker.ietf.org/doc/draft-geng-fantel-fantel-gap-analysis/
HTML:     https://www.ietf.org/archive/id/draft-geng-fantel-fantel-gap-analysis-00.html
HTMLized: https://datatracker.ietf.org/doc/html/draft-geng-fantel-fantel-gap-analysis


Abstract:

   Modern networks require fast, adaptive Traffic Engineering (TE) to
   support demanding applications like AI training and real-time
   services.  Existing mechanisms for load balancing, protection, and
   flow control often lack responsiveness and scalability.  This
   document analyzes key gaps in current TE solutions and proposes fast
   notification as a low-latency, event-driven enhancement.  Fast
   notification enables real-time network awareness and quicker
   reactions to dynamic conditions, improving overall network efficiency
   and reliability.



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