Rethinking Simulation Engineering Process for MSaaS

Bocciarelli, Paolo; D’Ambrogio, Andrea; Durak, Umut; Panetti, Tommaso

doi:10.1109/wetice49692.2020.00025

Cited by 1 publication

(2 citation statements)

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“…Subsequently, the most important aspects of these publications are explained in detail. [20] Typical challenges highlighting the complexity of co-simulation include the coupling of exchanged quantities for non-iterative co-simulation [6], selection of step-size, correction signals, and tuning parameters [5]. The challenge of couplings for real-time applications is addressed in [7][8][9], considering frequently experienced effects like dead-time, data loss, and noise.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Until today, HLA was used in multiple domains, e.g., for smart grid research [18]. Recent advances in cloud technologies and service-oriented architectures led to the idea of "Modeling and Simulation as a Service" (MSaaS)-a paradigm shift from component-based technologies, that is now changing how we model and simulate [20]. The authors present a revised view on DSEEP, considering recent developments, e.g., the use of a SysML conceptual model, or servicebased simulation applications.…”

Section: Literature Reviewmentioning

confidence: 99%

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ProMECoS: A Process Model for Efficient Standard-Driven Distributed Co-Simulation

2021

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Co-simulation techniques have evolved significantly over the last 10 years. System simulation and hardware-in-the-loop testing are used to develop innovative products in many industrial sectors. Despite the success of these simulation techniques, their efficient application requires a systematic approach. In practice the integration and coupling of heterogeneous systems still require enormous efforts. At this point in time no unified process for integration and simulation of DCP-based co-simulation scenarios is available. In this article we present ProMECoS, a process model for efficient, standard-driven distributed co-simulation. It defines the necessary tasks required to prepare, instantiate and execute distributed co-simulations according to the DCP standard. Furthermore, it enables the exploitation of front-loading benefits, thus reducing the overall system development effort. ProMECoS is based on the IEEE 1730 standard for Distributed Simulation Engineering and Execution Process. It adopts the artefacts of the DCP specification, and defines additional process artefacts. The DCP specification and its associated default integration methodology were developed by a balanced consortium in context of the ITEA 3 project ACOSAR. The DCP is compatible to the well-adopted FMI standard. Therefore both standards can be used together for seamless development using models, software, and real components. ProMECoS provides the necessary guidance for efficient product development and testing.

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