Gap Analysis of Fast Notification for Traffic Engineering and Load Balancing
draft-geng-fantel-fantel-gap-analysis-01
| Document | Type |
This is an older version of an Internet-Draft whose latest revision state is "Active".
Expired & archived
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|---|---|---|---|
| Authors | Xuesong Geng , PengFei Huo , Weiqiang Cheng , Dan Li , Yongqing Zhu , Han Zhengxin | ||
| Last updated | 2026-01-08 (Latest revision 2025-07-07) | ||
| RFC stream | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
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.
Authors
Xuesong Geng
PengFei Huo
Weiqiang Cheng
Dan Li
Yongqing Zhu
Han Zhengxin
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)