Browsing by Author "Toniolo, Mateo"
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Item Diseño e implementación de una herramienta de software para el modelado y simulación en RDEVS (WIP)(CoNaIISI, 2020) Blas, María Julia; Dalmasso, Fidel; Toniolo, Mateo; Gonnet, SilvioEn los últimos años, el campo de Modelado y Simulación ha comenzado a abordar nuevas propuestas basadas en la construcción de modelos conceptuales como soporte al diseño e implementación de modelos de simulación. Bajo esta perspectiva, la definición de un modelo de simulación puede formularse partiendo de un modelo conceptual en el cual se abstrae el dominio del problema bajo estudio. En este trabajo se presenta la arquitectura de una herramienta de software para la construcción, ejecución y visualización de modelos de simulación basados en Routed DEVS. El formalismo Routed DEVS ha sido presentado con anterioridad como una subclase del formalismo Discrete Event System Specification que busca dar solución a la identificación de eventos como funcionalidad embebida dentro de los modelos de simulación. Se presenta un conjunto de módulos de software que toman como punto de partida una representación gráfica del dominio y generan el código Java asociado a los modelos requeridos. Estos módulos son acompañados de módulos de captura de datos y visualización de información con el objetivo de proveer al usuario, de forma simple y amigable, una evaluación del estado resultante de cada corrida de simulación.Item Enhancing routed DEVS models with event tracking(Journal of the Brazilian Computer Society, 2025-06-17) Blas, María Julia; Toniolo, Mateo; Gonnet, SilvioThe Routed Discrete Event System Specification (RDEVS) is a modular and hierarchical Modeling and Simulation (M&S) formalism based on the Discrete Event System Specification (DEVS) formalism that provides a set of design models for dealing with routing problems over DEVS. At the formal level, RDEVS models (as DEVS models themselves) are defined mathematically. However, software implementations of both formalisms are based on an object-oriented paradigm. Furthermore, at the implementation design level, the RDEVS formalism is represented by a conceptual model that uses DEVS simulators as execution engines. Even when RDEVS models can be executed with DEVS simulators, the resulting data (obtained as execution outputs) remains DEVS-based, restricting the study of event flows between models influenced by routing policies. This paper shows how the RDEVS formalism design was enhanced to include event tracking in the models without altering their expected behavior during simulation. Such an improvement is based on adding new features to existing RDEVS components. These features are defined as trackers, which are responsible for getting structured data from events exchanged during RDEVS executions. The proposed solution employs the Decorator pattern as a software engineering option to achieve the required goal. It was deployed as a Java package attached to the RDEVS library, devoted to collecting structured event flow data using JavaScript Object Notation (JSON). The results highlight the modeling benefits of adding event tracking to the original capabilities of the RDEVS formalism. For the M&S community, the novel contribution is an advance in understanding how best modeling practices of software engineering can be used to enhance their software tools in general and the RDEVS formalism in particular.Item Tracking events as an add-on functionality of the routed DEVS formalism(V Workshop em Modelagem e Simulação de Sistemas Intensivos em Software, 2023-09-25) Blas, María Julia; Toniolo, Mateo; Gonnet, SilvioThe Routed DEVS (RDEVS) models improve traditional discreteevent models by enhancing the development of routing processes over predefined behaviors. This paper provides a novel solution for tracking events flowing in such routing processes as a new functionality of the RDEVS formalism. Such functionality is given by redesigning the original formalism following the “Decorator” pattern. An implementation of the redesign is developed as part of the RDEVS Java Library. As a result, we provide a solution that allows getting structured data from RDEVS models at execution time without changing their expected behavior or the simulator engine.