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.
Keywords : Scheduling algorithm Delay Multiagent systems Traffic control Control systems Ant colony optimization Machine learning Mathematical model Decision making Jitter
Type de document :
Communication dans un congrès
Proc. Of the IEEE International Conference on Computers and Communications (ISCC), 2009, Sousse, Tunisia. pp.963-969, 2009
Liste complète des métadonnées
https://hal.archives-ouvertes.fr/hal-01678653
Contributeur : Lab Lissi <>
Soumis le : mardi 9 janvier 2018 - 11:53:10
Dernière modification le : mercredi 20 février 2019 - 21:52:17

Identifiants

  • HAL Id : hal-01678653, version 1

Collections

UPEC-UPEM | LISSI

Citation

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, 2009. 〈hal-01678653〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

18

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD