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Managing the Variability of Component Implementations and Their Deployment Configurations Across Heterogeneous Deployment Technologies

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Cooperative Information Systems (CoopIS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14353))

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Abstract

Application systems often need to be deployed in different variants if requirements that influence their implementation, hosting, and configuration differ between customers. Therefore, deployment technologies, such as Ansible or Terraform, support a certain degree of variability modeling. Besides, modern application systems typically consist of various software components deployed using multiple deployment technologies that only support their proprietary, non-interoperable variability modeling concepts. The Variable Deployment Metamodel (VDMM) manages the deployment variability across heterogeneous deployment technologies based on a single variable deployment model. However, VDMM currently only supports modeling conditional components and their relations which is sometimes too coarse-grained since it requires modeling entire components, including their implementation and deployment configuration for each different component variant. Therefore, we extend VDMM by a more fine-grained approach for managing the variability of component implementations and their deployment configurations, e.g., if a cheap version of a SaaS deployment provides only a community edition of the software and not the enterprise edition, which has additional analytical reporting functionalities built-in. We show that our extended VDMM can be used to realize variable deployments across different individual deployment technologies using a case study and our prototype OpenTOSCA Vintner.

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Notes

  1. 1.

    Ansible: Conditionals, https://bit.ly/46KELJe.

  2. 2.

    Terraform: The count Meta-Argument, https://bit.ly/44yNBaW.

  3. 3.

    EDMM does not differentiate between artifacts for implementing components and artifacts for implementing management operations. This differentiation does not raise any conflicts since VDMM deployment artifacts are of type EDMM artifact.

  4. 4.

    https://github.com/OpenTOSCA/opentosca-vintner.

  5. 5.

    https://vintner.opentosca.org.

  6. 6.

    http://minisat.se.

  7. 7.

    https://github.com/meteor/logic-solver.

  8. 8.

    https://github.com/onecommons/unfurl.

  9. 9.

    https://github.com/xlab-si/xopera-opera.

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Acknowledgements

This publication was partially funded by the German Federal Ministry for Economic Affairs and Climate Action (BMWK) as part of the Software-Defined Car (SofDCar) project (19S21002).

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Authors and Affiliations

  1. Institute of Software Engineering, University of Stuttgart, Stuttgart, Germany

    Miles Stötzner & Steffen Becker

  2. Herman Hollerith Zentrum, Reutlingen University, Reutlingen, Germany

    Uwe Breitenbücher

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

    Robin D. Pesl

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  1. Miles Stötzner
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Correspondence to Miles Stötzner .

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Editors and Affiliations

  1. Telecom SudParis, Evry, France

    Mohamed Sellami

  2. Leibniz University Hannover, Hannover, Germany

    Maria-Esther Vidal

  3. Eindhoven University of Technology, Eindhoven, The Netherlands

    Boudewijn van Dongen

  4. Telecom SudParis, Evry, France

    Walid Gaaloul

  5. University of Lorraine, Vandoeuvre-les-Nancy, France

    Hervé Panetto

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Stötzner, M., Breitenbücher, U., Pesl, R.D., Becker, S. (2024). Managing the Variability of Component Implementations and Their Deployment Configurations Across Heterogeneous Deployment Technologies. In: Sellami, M., Vidal, ME., van Dongen, B., Gaaloul, W., Panetto, H. (eds) Cooperative Information Systems. CoopIS 2023. Lecture Notes in Computer Science, vol 14353. Springer, Cham. https://doi.org/10.1007/978-3-031-46846-9_4

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