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Propositions de méthodes pour adapter le réseau aux contraintes d'applications temps-réel

Abstract : The study of the Networked Control Systems (NCS) is based both on the identification of the application functioning requirements called Quality of Control (QoC) and on the evaluation of the Quality of Service (QoS) offered by the network. The studies on the NCS are classified according to two approaches: the control over network and the control of network. This thesis addresses the second approach and models the scheduling mechanisms implemented in the Ethernet switches that are more and more used in the industrial applications. The specific QoS parameter studied in this thesis is the delay disturbing the controlled system. This thesis proposes two models of classification of service based on WRR (Weighted Round Robin) schedulers. The first modeling follows a constructive approach by using the network calculus theory. The second is based on an identification step from numerical simulations and from the fuzzy logic. In the two cases, the purpose is both to offer enough bandwidth for the time constrained traffic and to maximize the bandwidth dedicated to the others traffics to avoid famine effects. The network calculus approach is used to configure off-line the network in respecting the NCS strict time constraints. The solution based on the fuzzy logic enables a dynamic control of the scheduler in order to tune on-line the network according to the traffic variations. This latter can be applied only to NCS with soft time constraints.
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Contributor : Jean-Philippe Georges <>
Submitted on : Thursday, July 21, 2011 - 2:27:52 PM
Last modification on : Friday, October 23, 2020 - 8:38:02 AM
Long-term archiving on: : Friday, November 4, 2011 - 3:07:39 PM


  • HAL Id : tel-01746353, version 2



Idriss Diouri. Propositions de méthodes pour adapter le réseau aux contraintes d'applications temps-réel. Réseaux et télécommunications [cs.NI]. Université Henri Poincaré - Nancy 1, 2010. Français. ⟨NNT : 2010NAN10091⟩. ⟨tel-01746353v2⟩



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