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Home Page: https://krzysztofrusek.github.io/queuinx/
License: Apache License 2.0
Queuinx: A library for performance evaluation in Jax
Home Page: https://krzysztofrusek.github.io/queuinx/
License: Apache License 2.0
Relying on 'examples/QueuingTheory_bootstrap.ipynb', I replace the 'TM' using the datanetAPI, and i found that the rho and mu, which is commented as '#param', are important to the qos prediction results.
When the mu is a larger value, the MAPE of delay and jitter is 0.7, 1.6 respectively.
So, how could I get a more similar QT's qos prediction results to the routenet paper? Thanks a lot !!!
TM = np.array([T[src, dst]['Flows'][0]['PktsGen'] for src in range(n) for dst in range(n) if src!=dst])
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