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

M. Bourennane A. Mellouk 1 D. Benhamamouche
1 CIR
LISSI - Laboratoire Images, Signaux et Systèmes Intelligents
Abstract : 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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https://hal.archives-ouvertes.fr/hal-01678653
Contributor : Yacine Amirat <>
Submitted on : Tuesday, January 9, 2018 - 11:53:10 AM
Last modification on : Friday, October 4, 2019 - 1:26:02 AM

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  • HAL Id : hal-01678653, version 1

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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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