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Robles, Julia

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juliarobles@uma.es

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Robles

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Julia

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ITIS Software. University of Malaga, Spain

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  • Artículo
    OpenTwins: an open-source framework for the development of next-gen compositional digital twins
    Robles, Julia; Martín, Cristian; Díaz, Manuel. Actas de las XXVII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2023), 2023-09-12.
    Although digital twins have recently emerged as a clear alternative for reliable asset representations, most of the solutions and tools available for the development of digital twins are tailored to specific environments. In this paper, we present an open-source framework for the development of compositional digital twins, i.e., digital twins that can be composed of other digital twins. In this open framework, digital twins can be easily developed and orchestrated with 3D-connected visualizations, IoT data streams, and real-time machine-learning predictions.
  • Artículo
    Distributed digital twins on the open-source OpenTwins framework
    Infante, Sergio; Robles, Julia; Martín, Cristian; Rubio, Bartolomé; Díaz, Manuel. Actas de las XXVIII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2024), 2024-06-17.
    This article addresses some challenges associated with combining Digital Twins and Distributed systems technologies and introduces a re-definition of the architecture of OpenTwins, an open-source platform designed to develop generic next-gen 3D-IoT-AI-powered digital twins. This approach enables the distribution of digital twins across different infrastructures by seamlessly integrating multiple instances of OpenTwins working together. Distributing Digital Twins across networks and devices offers dynamic and collaborative simulations, artificial intelligence techniques, yet poses synchronization and scalability challenges. The platform re-definition involves the definition of a lightweight, synchronized, and distributed version of the original OpenTwins architecture to tackle these issues. As the field of digital twins is closely linked to the Internet of Things(IoT) environment this architecture has been designed to be compatible in IoT devices, being compatible with ARM architectures, consuming fewer resources than the original platform as it has fewer components, thus reducing the number of messages and the bandwidth consumed.
  • Artículo
    Scalability of composite digital twins on OpenTwins platform
    Robles, Julia; Bueno, Altair; Infante, Sergio; Martín, Cristian; Díaz, Manuel. Actas de las XXVIII Jornadas de Ingeniería del Software y Bases de Datos (JISBD 2024), 2024-06-17.
    This paper explores the scalability limitations faced by the OpenTwins digital twin platform, especially when trying to define a digital twin with a high complexity or number of entities. A critical evaluation of the current architecture of the system is performed, identifying problems associated with the base framework, Eclipse Ditto, and the InfluxDB time series database. The use of an actor system and mailboxes by Eclipse Ditto, together with the InfluxDB approach to identify series, is pointed out as a determining factor in the limited scalability of these solutions in terms of cardinality. In order to overcome these constraints, an redefined architecture is proposed that integrates solutions designed to operate with low latency and high cardinality. In this approach, a new component is introduced with the ability to deploy Telegraf instances to efficiently manage digital twin connections. Moreover, as part of the improvement, the time series database is changed, opting for Timescale due to its efficient scalability against high cardinality situations.