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Communication Dans Un Congrès Année : 2009

A Coordination Mechanism Based on a Combined technique Applied to Dynamic Packet Scheduling in Routers

M. Bourennane
  • Fonction : Auteur
A Mellouk
  • Fonction : Auteur
CIR
D. Benhamamouche
  • Fonction : Auteur

Résumé

This paper describes an approach which uses a machine learning model in a packet scheduling problem to improve the end-to-end delay. A good Packet scheduling discipline allows to achieve QoS differentiation and to optimize the queuing delay. In a dynamically changing environment this discipline should be also adaptive to the new traffic conditions. We model this problem as a multi-agent system which consists of a whole of autonomous learning agents that interact with the environment. We define the learning problem as a decentralized process using a general mathematical framework, namely Markovian Decision Processes which are an effective tool in the modelling of the decision-making in uncertain dynamic environments. Coordination between agents occurs through communication governed by an ant colony model.
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Dates et versions

hal-01678653 , version 1 (09-01-2018)

Identifiants

  • HAL Id : hal-01678653 , version 1

Citer

M. Bourennane, A Mellouk, D. Benhamamouche. A Coordination Mechanism Based on a Combined technique Applied to Dynamic Packet Scheduling in Routers. Proc. Of the IEEE International Conference on Computers and Communications (ISCC), 2009, Sousse, Tunisia. pp.963-969. ⟨hal-01678653⟩

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