@techreport{geng-fantel-fantel-gap-analysis-02,
    number =    {draft-geng-fantel-fantel-gap-analysis-02},
    type =      {Internet-Draft},
    institution =   {Internet Engineering Task Force},
    publisher = {Internet Engineering Task Force},
    note =      {Work in Progress},
    url =       {https://datatracker.ietf.org/doc/draft-geng-fantel-fantel-gap-analysis/02/},
    author =    {Xuesong Geng and Jie Dong and Weiqiang Cheng and Dan Li and Yongqing Zhu and Han Zhengxin},
    title =     {{Gap Analysis of Fast Notification for Traffic Engineering and Load Balancing}},
    pagetotal = 9,
    year =      2026,
    month =     feb,
    day =       26,
    abstract =  {Modern networks require fast, adaptive Traffic Engineering (TE) to support demanding applications like AI training and real-time services. Existing mechanisms for load balancing, protection, and flow control often lack responsiveness and scalability. This document analyzes key gaps in current TE solutions and proposes fast notification as a low-latency, event-driven enhancement. Fast notification enables real-time network awareness and quicker reactions to dynamic conditions, improving overall network efficiency and reliability.},
}