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The Cost of Stale Telemetry in Traffic Engineering

Does a learned policy beat a re-tuned heuristic when link counters arrive late, noisy and incomplete? A research paper with an audit tool.

  • ❯A learned split-ratio policy trained through a differentiable fluid model, tested zero-shot on 24 Topology Zoo networks, replayed SNDlib traces and 27 Mininet TCP scenarios
  • ❯Clean or moderate telemetry: the re-tuned heuristic matches or wins. Delay, noise and loss together: the learned policy leads by +0.033 dScore, but only 0.006 at packet level
  • ❯An ECMP-fallback guard halves tail regret in simulation but not at packet level, and fluid features, not message passing, drive the result

Technologies & Frameworks

Core / Frontend

Python🧠GNNHTML5LaTeX

Backend / Engine

🌐Mininet + OVS🛰️Ryu SDNDocker
$ git clone github.com/Starmarine06/stale-but-safe-te

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