draft-geng-fantel-fantel-gap-analysis
Gap Analysis of Fast Notification for Traffic Engineering and Load Balancing
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.