@techreport{mo-cats-agent-selection-mapping-00,
    number =    {draft-mo-cats-agent-selection-mapping-00},
    type =      {Internet-Draft},
    institution =   {Internet Engineering Task Force},
    publisher = {Internet Engineering Task Force},
    note =      {Work in Progress},
    url =       {https://datatracker.ietf.org/doc/draft-mo-cats-agent-selection-mapping/00/},
    author =    {Yijun Mo and Dewei Yang and 周诚宇},
    title =     {{A Selection Mapping Framework for AI Agent Services in Computing-Aware Traffic Steering}},
    pagetotal = 45,
    year =      2026,
    month =     sep,
    day =       29,
    abstract =  {The Computing-Aware Traffic Steering (CATS) framework selects a service contact instance for a service request by combining computing and network metrics that are distributed by CATS Service Metric Agents and CATS Network Metric Agents. For AI agent services, the request that arrives at the network is not a single unit of work: it is a session that expands into multiple steps, each of which may require a different capability, a different state, and a different path. This document describes a mapping framework that turns the characteristics of an agent step into (1) a set of hard constraints and (2) a per-dimension valuation over a three-dimensional resource view composed of forwarding, computing, and storage, and that feeds the resulting suitability of each candidate service contact instance into the existing CATS selection function. The framework introduces no new functional component.},
}