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nasalt's Introduction

NASAlt

Problematique

  • Input : descriptif du réseau (matrice d'adjacence), matrice de demande (pe1 envoie autant de trafic à tel router)
  • Graphe : routers et comment ils sont connectés entre eux
  • Poids IGP -> on peut calculer les chemins plus courts (en dijkstra). Prendre résultats de Dijkstra + matrice et comptabiliser le trafic sur chaque lien IA va dire quel poids mettre pour baisser les pressions des liens

Overview

  • CST

    • threshold de saturation dépend de chaque lien

  • INPUT

    • Matrice de demande en input
    • Le graph et les poids (matrices d’adjacence)

  • OUTPUT

    • nouveau poids dans le réseau à chaque fois que la matrice de perturbation change (perturbations)

  • Étape intermédiaire:

    • convertir la matrice de demande en % de saturation des lien
    • calcul des tables de routages (n*Dijkstra)

nasalt's People

Contributors

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Watchers

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nasalt's Issues

Generate training data

  • import network structure from .gml file
  • (side quest) import congestion matrix from .gml file for more realistic networks
  • create a generateCongestionMatrix function that creates a congested matrix for the network
  • bundle all the above in a generateCongestedNetwork function �

Lancement IA

Lancement des recherches pour l'implémentation de l'IA

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