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EnglishThe development of Industrial Internet of Things systems (IIoT) requires tools robust enough to cope with the complexity and heterogeneity of such systems, which are supposed to work in safety-critical conditions. The availability of methodologies to support early analysis, verification, and validation is still an open issue in the research community. The early real-time schedulability analysis can help quantify to what extent the desired system’s timing performance can eventually be achieved. In this paper, we present CHESSIoT, a model-driven environment to support the design and analysis of industrial IoT systems. CHESSIoT follows a multi-view, component-based modeling approach with a comprehensive way to perform event-based modeling on system components for code generation purposes employing an intermediate ThingML model. To showcase the capability of the extension, we have designed and analysed an Industrial real-time safety use case.
| Titolo: | Towards a modeling and analysis environment for industrial IoT systems | |
| Autori: | ||
| Data di pubblicazione: | 2021 | |
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| Handle: | http://hdl.handle.net/11697/179314 | |
| Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |
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