@techreport{song-rtgwg-din-usecases-requirements-00,
    number =    {draft-song-rtgwg-din-usecases-requirements-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-song-rtgwg-din-usecases-requirements/00/},
    author =    {Jian Song and Weiqiang Cheng},
    title =     {{Distributed Inference Network (DIN) Problem Statement, Use Cases, and Requirements}},
    pagetotal = 9,
    year =      2025,
    month =     oct,
    day =       20,
    abstract =  {This document describes the problem statement, use cases, and requirements for a "Distributed Inference Network" (DIN) in the era of pervasive AI. As AI inference services become widely deployed and accessed by billions of users, applications and devices, traditional centralized cloud-based inference architectures face challenges in scalability, latency, security, and efficiency. DIN aims to address these challenges by leveraging distributed edge-cloud collaboration, intelligent scheduling, and enhanced network security to support low- latency, high-concurrency, and secure AI inference services.},
}