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Equipo : MoVe
Fecha de salida : 31/08/2014
Dirección de investigación : Jacques MALENFANT
Co-supervisión : TRUCK Isis

Coordination in decision-making for large-scale autonomic architectures

Though autonomic computing has received a lot of attention since its inception in the early 2000, to date the research has mainly considered relatively small-scale systems. But Kephart recently reminded that the main challenges in this area revolve around facing the inherent decentralisation when going large-scale, which greatly complicates often interdependent adaptation decisions. Especially as autonomic computing imposes inevitable time constraints as it de facto implies a reactive control for adapting. In this paper, we propose a decentralised approach for coordinating the decision-making that uncouples the exchange and gathering of coordination information on one hand from the coordinated local decision-making on the other hand. This uncoupling allows for these local decisions to be made without delays as they are based upon information gathered previously. This approach is illustrated by a geotracking application for large fleets of trucks from the SALTY ANR project, and validated through a series of simulations demonstrating the adequacy and the good performances of its various algorithms.
Defensa : 18/11/2013 - 14h - Site Jussieu - Salle Jean-Louis Laurière - 25-26/101
miembros del jurado :
Lionel Seinturier, Université de Lille I [Rapporteur]
Philippe Collet, Université de Nice [Rapporteur]
Michèle Soria, Université Pierre et Marie Curie
Nicolas Sabouret, Université d'Orsay
Christophe Dony, Université de Montpellier II
Jacques Malenfant, Université Pierre et Marie Curie
Mme. Isis Truck, Université Paris 8 Vincennes-Saint-Denis

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