A Distributed Parallel Simulation Environment for Interoperability and Reusability of Models in Military Applications

Interoperability and reusability of models are main concerns in military simulation. In order to improve the interoperability and reusability of models, the model shall be separated with a particular simulation engine, and the modelling framework of models as well as the architecture of the simulation engine should be standardized. This paper describes the architecture and operational concept of simulation environment which has been developed to enhance interoperability an d reusability of models. We named this environment adaptive distributed parallel Simulation environment for Interoperable and reusable models (AddSIM). We suggested a modelling framework to promote model development, portability and interoperability with other models. Also, we proposed a layered architecture to modularise critical capabilities including kernel layer, tool/application layer, support/service layer and external interface. This means that models can be developed independently of a simulation engine and interfaced with it using API. To validate the application feasibility of AddSIM, we set up an anti-air missile engagement situation and performed simulation. In military simulation, it is expected that reusability and interoperability of models will be enhanced by using proposed AddSIM.Defence Science Journal, 2012, 62(6), pp.412-419, DOI:http://dx.doi.org/10.14429/dsj.62.147

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

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

Synchronous Parallel Environment for Emulation and

This paper provides an overview of the WarpIV Simulation Kernel that was designed to be an initial implementation of the Standard Simulation Architecture (SSA). WarpIV is the next generation replacement for th