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An approach to automatically detect problems in restructured deployment models based on formalizing architecture and design patterns

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SICS Software-Intensive Cyber-Physical Systems

Abstract

For the automated deployment of applications, technologies exist which can process topology-based deployment models that describes the application’s structure with its components and their relations. The topology-based deployment model of an application can be adapted for the deployment in different environments. However, the structural changes can lead to problems, which had not existed before and prevent a functional deployment. This includes security issues, communication restrictions, or incompatibilities. For example, a formerly over the internal network established insecure connection leads to security problems when using the public network after the adaptation. In order to solve problems in adapted deployment models, first the problems have to be detected. Unfortunately, detecting such problems is a highly non-trivial challenge that requires deep expertise about the involved technologies and the environment. In this paper, we present (1) an approach for detecting problems in deployment models using architecture and design patterns and (2) the automation of the detection process by formalizing the problem a pattern solves in a certain context. We validate the practical feasibility of our approach by a prototypical implementation for the automated problem detection in TOSCA topologies.

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Notes

  1. https://www.ansible.com/.

  2. https://www.cloudfoundry.org/.

  3. A comparison of different cloud modeling languages can be found in Bergmayr et al. [4].

  4. The mapping to TOSCA is based on the XML specification of TOSCA, but the concepts can also be applied to the TOSCA Simple Profile [30].

  5. https://eclipse.github.io/winery.

  6. https://github.com/saatkamp/topology-prodec.

  7. http://www.swi-prolog.org/.

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Acknowledgements

This work was partially funded by the BMWi projects IC4F (01MA17008G) and SmartOrchestra (01 MD16001F) and the German Research Foundation (DFG) Project ADDCompliance (636503).

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Authors and Affiliations

  1. Institute of Architecture of Application Systems (IAAS), Universitätsstraße 38, 70569, Stuttgart, Germany

    Karoline Saatkamp, Uwe Breitenbücher, Oliver Kopp & Frank Leymann

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  1. Karoline Saatkamp
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  2. Uwe Breitenbücher
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  3. Oliver Kopp
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  4. Frank Leymann
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Correspondence to Karoline Saatkamp.

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Saatkamp, K., Breitenbücher, U., Kopp, O. et al. An approach to automatically detect problems in restructured deployment models based on formalizing architecture and design patterns. SICS Softw.-Inensiv. Cyber-Phys. Syst. 34, 85–97 (2019). https://doi.org/10.1007/s00450-019-00397-7

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  • DOI: https://doi.org/10.1007/s00450-019-00397-7

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