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Authors: Khadim Ndiaye 1 ; Flavien Balbo 1 ; Jean-Paul Jamont 2 and Michel Occello 2

Affiliations: 1 Mines Saint-Etienne, Univ. Lyon, Univ. Jean Monnet, IOGS, CNRS, UMR 5516 LHC, Institut Henri Fayol, F-42023 Saint-Etienne and France ; 2 Univ. Grenoble Alpes, Grenoble INP, LCIS, F-26000 Valence and France

ISBN: 978-989-758-323-0

Keyword(s): Simulation Coupling, Interoperability, Multi-agent based Simulation.

Related Ontology Subjects/Areas/Topics: Agent Based Modeling and Simulation ; Artificial Intelligence ; Biomedical Engineering ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Computer Simulation Techniques ; Data Engineering ; e-Business ; Enterprise Information Systems ; Health Information Systems ; Integration/Interoperability ; Interoperability ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Sensor Networks ; Simulation and Modeling ; Simulation Tools and Platforms ; Software Agents and Internet Computing ; Software and Architectures ; Symbolic Systems

Abstract: Simulation coupling is a mean by which already developed tools are reused and run together for the sake of capitalizing on existing endeavours. A main challenge to microscopic simulation coupling is the synchronization of schedulers, which are in charge of ordering internal actions for their respective simulation. To achieve a consistent execution of the overall simulations, simulation coupling must tackle challenges to interoperability and schedulers’ synchronization. In the scope of microscopic simulations, functional coupling objectives can be categorized into different levels from coupled simulations that only exchange aggregated information, to a coupling that highlights novel behaviours. Our goal in this paper is to show that the existing coupling solutions fail to implement the problem where the coupling objective is to combine individual behaviors from diverse microscopic simulations, in order to create new ones. This failure is due to the fact that these solutions consider mi croscopic simulations to be coupled, as whole components with autonomous schedulers instead of a composite set of behaviors. The limitations are shown using the DEVS formalism to describe coupled microscopic simulation under different coupling objectives, with a formalization of constraints induced by shared components. (More)

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Paper citation in several formats:
Ndiaye, K.; Balbo, F.; Jamont, J. and Occello, M. (2018). Simulation Coupling Limitations with Respect to Shared Entities Constraints.In Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-323-0, pages 338-346. DOI: 10.5220/0006859603380346

@conference{simultech18,
author={Khadim Ndiaye. and Flavien Balbo. and Jean{-}Paul Jamont. and Michel Occello.},
title={Simulation Coupling Limitations with Respect to Shared Entities Constraints},
booktitle={Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2018},
pages={338-346},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006859603380346},
isbn={978-989-758-323-0},
}

TY - CONF

JO - Proceedings of 8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Simulation Coupling Limitations with Respect to Shared Entities Constraints
SN - 978-989-758-323-0
AU - Ndiaye, K.
AU - Balbo, F.
AU - Jamont, J.
AU - Occello, M.
PY - 2018
SP - 338
EP - 346
DO - 10.5220/0006859603380346

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