<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.geng-fantel-fantel-gap-analysis" target="https://datatracker.ietf.org/doc/html/draft-geng-fantel-fantel-gap-analysis-02">
   <front>
      <title>Gap Analysis of Fast Notification for Traffic Engineering and Load Balancing</title>
      <author initials="X." surname="Geng" fullname="Xuesong Geng">
         <organization>Huawei</organization>
      </author>
      <author initials="J." surname="Dong" fullname="Jie Dong">
         <organization>Huawei</organization>
      </author>
      <author initials="W." surname="Cheng" fullname="Weiqiang Cheng">
         <organization>China Mobile</organization>
      </author>
      <author initials="D." surname="Li" fullname="Dan Li">
         <organization>Tsinghua University</organization>
      </author>
      <author initials="Y." surname="Zhu" fullname="Yongqing Zhu">
         <organization>China Telecom</organization>
      </author>
      <author initials="H." surname="Zhengxin" fullname="Han Zhengxin">
         <organization>China Unicom</organization>
      </author>
      <date month="February" day="26" year="2026" />
      <abstract>
	 <t>   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.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-geng-fantel-fantel-gap-analysis-02" />
   
</reference>
