Mariane El Kassis , Paolo Bocciarelli , François Trousset , Nicolas Daclin , Andrea D’Ambrogio , Gregory Zacharewicz
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An HLA-based automated approach for the interoperable simulation of collaborative business processes
As collaborative simulations gain prominence, there is a pressing need for methodologies that seamlessly integrate interoperability while safeguarding intellectual property. This paper presents a novel approach rooted in Model-Driven Architecture and combined with the High-Level Architecture standard. This approach expedites the simulation process by automating the generation of Federation Object Model files and federate codes. Distinctly, we produce two federates: one exclusively in Java and another integrating Java with the Discrete Event System Specification, addressing diverse simulation paradigms. Utilizing the Unified Modeling Language and the Business Process Model and Notation standards, we devise a systematic procedure for modeling business operations while maintaining confidentiality. While our automation framework is robust, certain intricacies of federate behavior necessitate manual adjustments to ensure secure data transmission and protection of proprietary knowledge. The efficacy of our approach, striking a balance between interoperability and confidentiality in High-Level Architecture-based simulations, is demonstrated through a comprehensive experiment.
期刊介绍:
The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling.
The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas.
Paper submission is solicited on:
• theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.;
• methodology and application of modelling and simulation in any area, including computer systems, networks, real-time and embedded systems, mobile and intelligent agents, manufacturing and transportation systems, management, engineering, biomedical engineering, economics, ecology and environment, education, transaction handling, etc.;
• simulation languages and environments including those, specific to distributed computing, grid computing, high performance computers or computer networks, etc.;
• distributed and real-time simulation, simulation interoperability;
• tools for high performance computing simulation, including dedicated architectures and parallel computing.