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Migrating the INTO-CPS Application to the Cloud

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Formal Methods. FM 2019 International Workshops (FM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 12233))

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Abstract

The INTO-CPS Application is a common interface used to access and manipulate different model-based artefacts produced by the INTO-CPS tool chain during the development of a cyber-physical system. The application was developed during the INTO-CPS project. It uses web-technologies on top of the Electron platform, and it requires local installation and configuration on each user local machine. In this paper, we present a cloud-based version of the INTO-CPS Application which was developed while researching the potential of cloud technologies to support the INTO-CPS tool chain environment. The proposed application has the advantage that no configuration or installation on a local machine is needed. It makes full usage of the cloud resource management, and its architecture allows for a local machine version, keeping the current local approach option open.

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Notes

  1. 1.

    https://electronjs.org/.

  2. 2.

    into-cps-app-3.4.9-win32-x64.zip.

  3. 3.

    https://www.modelio.org/about-modelio/features.html.

  4. 4.

    Note that currently none of the modelling and simulation tools have been migrated, but it is envisaged the HUBCAP project (see http://hubcap.au.dk) will establish a collaboration platform in the cloud where this could be possible.

  5. 5.

    https://docs.docker.com/get-started.

  6. 6.

    See https://angular.io/.

  7. 7.

    https://www.nginx.com/resources/glossary/nginx.

  8. 8.

    https://docs.docker.com/compose/.

  9. 9.

    https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/concepts.html.

References

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Acknowledgements

We would like to thank all stakeholders that have been involved in the development of the INTO-CPS Application. We acknowledge the EU for funding the INTO-CPS project (grant agreement number 644047) which was the original source of funding for the INTO-CPS Application. We are also grateful to the Poul Due Jensen Foundation, which has supported the establishment of a new Centre for Digital Twin Technology at Aarhus University, which will take forward the principles, tools and applications of the engineering of digital twins. Finally, we would like to thank Nick Battle and the anonymous reviewers for valuable feedback on earlier versions of this paper.

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Authors and Affiliations

  1. DIGIT, Department of Engineering, Aarhus University, Aarhus, Denmark

    Hugo Daniel Macedo, Mikkel Bayard Rasmussen, Casper Thule & Peter Gorm Larsen

Authors
  1. Hugo Daniel Macedo
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  2. Mikkel Bayard Rasmussen
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  3. Casper Thule
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  4. Peter Gorm Larsen
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Corresponding author

Correspondence to Hugo Daniel Macedo .

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Editors and Affiliations

  1. McMaster University, Hamilton, ON, Canada

    Emil Sekerinski

  2. University of Porto, Porto, Portugal

    Nelma Moreira

  3. University of Minho, Braga, Portugal

    José N. Oliveira

  4. Argo Ai, Munich, Germany

    Daniel Ratiu

  5. University of Pisa, Pisa, Italy

    Riccardo Guidotti

  6. University of Liverpool, Liverpool, UK

    Marie Farrell

  7. University of Liverpool, Liverpool, UK

    Matt Luckcuck

  8. University of Exeter, Exeter, UK

    Diego Marmsoler

  9. University of Minho, Braga, Portugal

    José Campos

  10. University of Newcastle, Newcastle upon Tyne, UK

    Troy Astarte

  11. Claude Bernard University, Lyon, France

    Laure Gonnord

  12. Nazarbayev University, Nur-Sultan, Kazakhstan

    Antonio Cerone

  13. University of Surrey, Guildford, UK

    Luis Couto

  14. University of Surrey, Guildford, UK

    Brijesh Dongol

  15. University of Giessen, Giessen, Germany

    Martin Kutrib

  16. University of Lisbon, Lisbon, Portugal

    Pedro Monteiro

  17. Airbus Operations S.A.S., Toulouse, France

    David Delmas

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Macedo, H.D., Rasmussen, M.B., Thule, C., Larsen, P.G. (2020). Migrating the INTO-CPS Application to the Cloud. In: Sekerinski, E., et al. Formal Methods. FM 2019 International Workshops. FM 2019. Lecture Notes in Computer Science(), vol 12233. Springer, Cham. https://doi.org/10.1007/978-3-030-54997-8_17

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  • DOI: https://doi.org/10.1007/978-3-030-54997-8_17

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