New contributions of information technologies to develop distributed simulation

Se entiende por simulación al proceso por medio del cual serepresenta, reproduce o imita el comportamiento observable de un proceso osistema real a lo largo del tiempo y el espacio. La simulación distribuida tienela capacidad de acelerar la ejecución de un único modelo, vincular y reutilizarmúltiples modelos para simular modelos más grandes y acelerar la ejecuciónde etapas de experimentación. En este contexto, la construcción desimulaciones distribuidas ha mejorado en los últimos años gracias alsurgimiento de nuevas tecnologías de la información. En este artículo sedescriben los principios, modos de trabajo y enfoques de administración detiempo asociados a esta técnica junto con las herramientas de software que, enla actualidad, brindan soporte a su aplicación. Además, se presenta unarevisión bibliográfica que evidencia el crecimiento (y la importancia) de su usocomo técnica de estudio en diferentes dominios.Simulation is the process by which the observable behavior of a real process or system is represented, reproduced or imitated in time and space. Distributed simulation can be used for accelerate the execution of models, reuse models in larger models, and accelerate the execution of experiments. Given the emergence of new information technologies, the use of distributed simulation has grown. This paper describes the fundamentals, modes and time management approaches used in distributed simulations along with the software tools that improves its development. Also, a literature review is presented to show how this technique is applied in distinct domains.Fil: Sarli, Juan Leonardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Blas, María Julia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; ArgentinaFil: Gonnet, Silvio Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Instituto de Desarrollo y Diseño. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. Instituto de Desarrollo y Diseño; Argentin

A Model-driven Approach to Build HLA-based Distributed Simulations from SysML Models

The analysis and design of complex systems, which very often are composed of several sub-systems, takes advantages by the use of distributed simulation techniques. Unfortunately, the development of distributed simulation systems requires a significant expertise and a considerable effort for the inherent complexity of available standards, such as HLA. This paper introduces a model-driven approach to support the automated generation of HLA-based distributed simulations starting from system descriptions specified by use of SysML (Systems Modeling Language), the UML-based general purpose modeling language for systems engineering. The proposed approach is founded on the use of model transformation techniques and relies on standards introduced by the Model Driven Architecture (MDA). The method exploits several UML models that embody the details required to support two transformations that automatically map the source SysML model into a HLA-specific model and then use the latter to generate the Java/HLA source code. To this purpose, this paper also introduces two UML profiles, used to annotate UML diagrams in order both to represent HLA-based details and to support the automated generation of the HLA-based simulation code

Distributed Simulation: State-of-the-Art and Potential for Operational Research

In Operational Research conventional simulation practices typically focus on the conceptualization, development and use of a single model simulated on a single computer by a single analyst. Since the late 1970s the field of Distributed Simulation has led research into how to speed up simulation and how to compose large-scale simulations consisting of many reusable models running using distributed computers. There have been significant advances in the theories and technologies underpinning Distributed Simulation and there have been major successes in defence, computer systems design and smart urban environments. However, from an Operational Research perspective, Distributed Simulation has had little impact on mainstream research and practice. To argue the potential benefits of Distributed Simulation for Operational Research, this article gives an overview of Distributed Simulation approaches and technologies as well as discussing the state-of-the-art of Distributed Simulation applications. It will investigate the potential advantages of Distributed Simulation for Operational Research and present a possible sustainable future, based on experiences from e-Science, that will help Operational Research meet future challenges such as those emerging from Big Data Analytics, Cyber-physical systems, Industry 4.0, Digital Twins and Smart environments

A Model-driven Approach to Build HLA-based Distributed Simulations from SysML Models

The analysis and design of complex systems, which very often are composed of several sub-systems, takes advantages by the use of distributed simulation techniques. Unfortunately, the development of distributed simulation systems requires a significant expertise and a considerable effort for the inherent complexity of available standards, such as HLA. This paper introduces a model-driven approach to support the automated generation of HLA-based distributed simulations starting from system descriptions specified by use of SysML (Systems Modeling Language), the UML-based general purpose modeling language for systems engineering. The proposed approach is founded on the use of model transformation techniques and relies on standards introduced by the Model Driven Architecture (MDA). The method exploits several UML models that embody the details required to support two transformations that automatically map the source SysML model into a HLA-specific model and then use the latter to generate the Java/HLA source code. To this purpose, this paper also introduces two UML profiles, used to annotate UML diagrams in order both to represent HLA-based details and to support the automated generation of the HLA-based simulation code