Politiques de synchronisation dans les systèmes multi-agents distribués parallèles
Revue Ouverte d'Intelligence Artificielle, Post-actes des Journées Francophones sur les Systèmes Multi-Agents (JFSMA 2018-2019-2020), Volume 3 (2022) no. 5-6, pp. 527-556.

Parmi les méthodes de modélisation/simulation, les systèmes multi-agents présentent un intérêt particulier pour simuler les systèmes complexes. Lorsque la taille des modèles croît, le recours à la simulation distribuée est nécessaire mais pose de nombreux problèmes. Dans cet article, nous nous intéressons à l’impact de la synchronisation sur l’implémentation des modèles et leur exécution. Nous mettons en évidence des problématiques de synchronisation à travers des instances de modèles et nous analysons expérimentalement l’impact des politiques de synchronisation sur des exécutions de grande taille. En réponse aux manques mis en évidence, nous proposons une interface de synchronisation générique et son implémentation dans la plateforme de simulation FPMAS.

Among simulation or modelisation methods, multi-agent systems are interesting candidate to simulate complex systems. When the size of the models increases, the use of parallel multi-agent systems is mandatory but comes with many issues. In this article, we are interested in the impact of synchronization on model implementation and on their execution. We highlight synchronization problems through model instances then we experimentally analyze the impact of synchronization on large scale testcases. To address the issues highlighted by this analyze, we propose a generic synchronization interface and its implementation in the FPMAS platform.

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DOI : 10.5802/roia.42
Mot clés : multi-agent simulation, parallélisme, MAS, High Performance Computing, synchronisation
Keywords: Multi-agent simulation, Parallelism, High Performance Computing, Synchronization.

Paul Breugnot 1 ; Bénédicte Herrmann 1 ; Christophe Lang 1 ; Laurent Philippe 1 ; Alban Rousset 2

1 Institut Femto-ST, Université de Bourgogne-Franche-Comté/CNRS, France
2 LuxProvide S.A.,Luxembourg
Licence : CC-BY 4.0
Droits d'auteur : Les auteurs conservent leurs droits
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Paul Breugnot; Bénédicte Herrmann; Christophe Lang; Laurent Philippe; Alban Rousset. Politiques de synchronisation dans les systèmes multi-agents distribués parallèles. Revue Ouverte d'Intelligence Artificielle, Post-actes des Journées Francophones sur les Systèmes Multi-Agents (JFSMA 2018-2019-2020), Volume 3 (2022) no. 5-6, pp. 527-556. doi : 10.5802/roia.42. https://roia.centre-mersenne.org/articles/10.5802/roia.42/

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