<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.song-cain-header" target="https://datatracker.ietf.org/doc/html/draft-song-cain-header-00">
   <front>
      <title>Network Header Compression for Converged AI Network</title>
      <author initials="H." surname="Song" fullname="Haoyu Song">
         <organization>Futurewei Technologies</organization>
      </author>
      <author initials="K." surname="Zhu" fullname="Keyi Zhu">
         <organization>Huawei Technologies</organization>
      </author>
      <author initials="S." surname="Song" fullname="Jian Song">
         <organization>China Mobile</organization>
      </author>
      <date month="April" day="9" year="2026" />
      <abstract>
	 <t>   We envision the scale-up, scale-out, and scale-across networks for AI
   computing would eventually converged.  The draft describes a scheme
   for L3 packet header compression in converged AI networks where IPv6
   are assumed to be the L3 protocol, and a unified fabric supports all
   kinds of traffic.  The header size can be reduced to 8 octets for
   packets transferred with a single super-node, representing 80%
   overhead saving.  The document discusses the motivation,
   requirements, benefits, and feasibility in addition to the header
   format proposal.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-song-cain-header-00" />
   
</reference>
