Abstract
Digitalisation is continuing to play an essential role in modernising Europe’s industrial capabilities, allowing companies to be well positioned for global competitiveness and sustainability. Data is viewed as an essential resource for economic growth, competitiveness, innovation, job creation and societal progress. As such, EU industry needs to develop highly integrated digital networks that can underpin the creation of innovative digital services. While the convergence of novel digital technologies are viewed as key enablers, their inherent complexity, heterogeneity and dynamicity create challenges for managing workflows and trust at scale. As a result valuable data assets are disparate sitting in silos across systems, roles and business functions and go unutilised. In addition, large volumes of data sit across organisations that can provide a rich cross-pollination of experience to identify common patterns, opportunities, and train robust models to support innovative data-driven services. The work presented here outlines an initial analysis of the system requirements, architectural considerations, and challenges that need to be overcome to realise distributed and trusted digital workflows with a focus on use cases in the domain of smart manufacturing.
This publication has emanated from research conducted with the financial support of Science Foundation Ireland under Grant Number SFI/16/RC/3918 (Confirm).
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McGibney, A., Bharti, S. (2022). DISTiL: DIStributed Industrial Computing Environment for Trustworthy DigiTaL Workflows: A Design Perspective. In: Margaria, T., Steffen, B. (eds) Leveraging Applications of Formal Methods, Verification and Validation. Practice. ISoLA 2022. Lecture Notes in Computer Science, vol 13704. Springer, Cham. https://doi.org/10.1007/978-3-031-19762-8_16
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DOI: https://doi.org/10.1007/978-3-031-19762-8_16
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