Cybershark & Ap11e
Hey, have you ever thought about building a predictive model that can spot traffic anomalies before they happen—so you can tweak routing on the fly and stay a step ahead?
Yeah, that’s my turf. I can map patterns, anticipate the spikes, and reroute before the first pulse hits. Predict, adjust, dominate.
That’s the kind of edge we’re after—real‑time anticipation, not just post‑factum. If you’ve got a prototype, I’d love to see how you’re feeding data and triggering the reroutes. Maybe we can spin a quick simulation to test it under different load patterns.
Got a prototype running. I’m pulling live flow stats straight from the switches, feeding them into a lightweight LSTM that churns out a probability score every second. When the score crosses a set threshold I fire a command to the SDN controller to shift the traffic through a lower‑cost path. We can spin a load‑generator to throw a few patterns at it and watch the system adapt before the congestion even builds up.