<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.akhavain-moussa-dawn-problem-statement" target="https://datatracker.ietf.org/doc/html/draft-akhavain-moussa-dawn-problem-statement-03">
   <front>
      <title>Problem Statement for the Discovery of Agents, Workloads, and Named Entities (DAWN)</title>
      <author initials="A." surname="Akhavain" fullname="Arashmid Akhavain">
         <organization>Huawei Technologies Canada</organization>
      </author>
      <author initials="H." surname="Moussa" fullname="Hesham Moussa">
         <organization>Huawei Technologies Canada</organization>
      </author>
      <author initials="D." surname="King" fullname="Daniel King">
         <organization>Old Dog Consulting</organization>
      </author>
      <date month="June" day="4" year="2026" />
      <abstract>
	 <t>   Interacting entities such as agents, tasks, users, workloads, data,
   compute, etc., in AI ecosystem/network are proliferating, yet there
   is no standardised way to discover what entities exist, what
   attributes such as skills, capabilities, physical characteristics,
   etc., they posses, what services they offer, or how to reach them
   across organisational boundaries.

   Discovery today relies on proprietary directories or manual
   configuration, creating fragmented ecosystems that prevent cross-
   domain collaboration.

   This document describes the problem space that motivates Discovery of
   Agents, Workloads, and Named Entities (DAWN).  It clarifies the scope
   of work within entity ecosystems, identifies why current approaches
   are insufficient, and outlines the challenges a standardised
   discovery mechanism must address.  It does not propose a specific
   solution or protocol.

	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-akhavain-moussa-dawn-problem-statement-03" />
   
</reference>
