<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.pang-cats-fallback-decision-framework" target="https://datatracker.ietf.org/doc/html/draft-pang-cats-fallback-decision-framework-00">
   <front>
      <title>CATS Fallback Decision Framework</title>
      <author initials="R." surname="Pang" fullname="Ran Pang">
         <organization>China Unicom</organization>
      </author>
      <author initials="M." surname="Han" fullname="Mengyao Han">
         <organization>China Unicom</organization>
      </author>
      <author initials="H." surname="Huang" fullname="Tianyi Huang">
         <organization>CNIC CAS</organization>
      </author>
      <author initials="N." surname="Zhang" fullname="Naihan Zhang">
         <organization>China Unicom</organization>
      </author>
      <date month="July" day="6" year="2026" />
      <abstract>
	 <t>   This document describes the framework and considerations for fallback
   decision-making in Computing-Aware Traffic Steering (CATS).  While
   existing OAM frameworks provide multi-dimensional telemetry
   collection capabilities, how the CATS Path Selector (C-PS) should
   react to partial or transient failures remains an open issue.  This
   document highlights the problems of misjudgment due to correlated
   failures, steering flapping, and non-deterministic fallback
   behaviors.  It outlines the high-level considerations for logical
   decoupling of status dimensions and stable state transition
   mechanisms to ensure carrier-grade reliability.  Specific protocol
   extensions and algorithm implementations will be explored in future
   revisions based on working group discussions.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-pang-cats-fallback-decision-framework-00" />
   
</reference>
