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International Conference on Enterprise Information Systems

ICEIS 2017: Enterprise Information Systems pp 265–290Cite as

A Method and Programming Model for Developing Interacting Cloud Applications Based on the TOSCA Standard

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 321))

Abstract

Many cloud applications are composed of several interacting components and services. The communication between these components can be enabled, for example, by using standards such as WSDL and the workflow technology. In order to wire these components several endpoints must be exchanged, e.g., the IP addresses of deployed services. However, this exchange of endpoint information is highly dependent on the (i) middleware technologies, (ii) programming languages, and (iii) deployment technology used in a concrete scenario and, thus, increases the complexity of implementing such interacting applications. In this paper, we propose a programming model that eases the implementation of interacting components of automatically deployed TOSCA-based applications. Furthermore, we present a method following our programming model, which describes how such a cloud application can be systematically modeled, developed, and automatically deployed based on the TOSCA standard and how code generation capabilities can be utilized for this. The practical feasibility of the presented approach is validated by a system architecture and a prototypical implementation based on the OpenTOSCA ecosystem. This work is an extension of our previous research we presented at the International Conference on Enterprise Information Systems (ICEIS).

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Notes

  1. 1.

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

  2. 2.

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

  3. 3.

    http://kubernetes.io/.

  4. 4.

    This is a general requirement for deploying composite applications. Of course, this does not apply to hard-wired scenarios, which are not the focus of this work.

  5. 5.

    https://www.w3.org/TR/ws-addr-core/.

  6. 6.

    We also developed a TOSCA-specific workflow modeling extension called BPMN4TOSCA [14, 16] that eases developing management plans.

  7. 7.

    This section is based on our previous work but extends it by a schematic overview of the extension and a schematic description of the generated code-skeletons [37].

  8. 8.

    Of course, other kinds of middleware may also be used similarly for realizing our programming model, e.g., a messaging middleware. This is part of our future work.

  9. 9.

    Output parameters can be specified the same way.

  10. 10.

    For testing, instructions to automatically deploy the ecosystem can be found at http://install.opentosca.org.

  11. 11.

    https://projects.eclipse.org/projects/soa.winery.

  12. 12.

    https://www.github.com/OpenTOSCA.

  13. 13.

    Details about this deployment can be found in Breitenbücher et al. [4].

  14. 14.

    https://www.docker.com/products/docker-compose.

  15. 15.

    https://www.docker.com/products/docker-swarm.

  16. 16.

    http://kubernetes.io/.

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Acknowledgements

This work was partially funded by the BMWi project SmartOrchestra (01MD16001F).

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Authors and Affiliations

  1. Institute of Architecture of Application Systems, University of Stuttgart, Stuttgart, Germany

    Michael Zimmermann, Uwe Breitenbücher & Frank Leymann

Authors
  1. Michael Zimmermann
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  2. Uwe Breitenbücher
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  3. Frank Leymann
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Corresponding author

Correspondence to Michael Zimmermann .

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Editors and Affiliations

  1. MODESTE/ESEO, Angers, France

    Slimane Hammoudi

  2. Warsaw University of Technology, Warsaw, Poland

    Michał Śmiałek

  3. MODESTE/ESEO, Angers, France

    Olivier Camp

  4. INSTICC, Polytechnic Institute of Setúbal, Setúbal, Poland

    Joaquim Filipe

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Zimmermann, M., Breitenbücher, U., Leymann, F. (2018). A Method and Programming Model for Developing Interacting Cloud Applications Based on the TOSCA Standard. In: Hammoudi, S., Śmiałek, M., Camp, O., Filipe, J. (eds) Enterprise Information Systems. ICEIS 2017. Lecture Notes in Business Information Processing, vol 321. Springer, Cham. https://doi.org/10.1007/978-3-319-93375-7_13

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  • DOI: https://doi.org/10.1007/978-3-319-93375-7_13

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