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An Evaluation of Modeling Options for Cloud-native Application Architectures to Enable Quality Investigations

Karolin Dürr,Robin Lichtenthäler

Published 2022 in International Conference on Utility and Cloud Computing

ABSTRACT

Cloud-native as a style to build web applications embraces the potential of cloud computing. A possibility to evaluate software architectures of cloud-native applications according to quality aspects would be beneficial to developers, but is challenging due to the thematic breadth of cloud-native ranging from design to operation of applications. This work therefore evaluates existing architecture description languages according to their suitability for representing those architectural aspects specific to the cloud-native style. The evaluation is driven by a recently proposed quality model for which a suitable architectural modeling option is needed. We find that several existing languages are suitable as a basis for implementing an extension specific to the quality model. We choose TOSCA as an established standard to implement such an extension with corresponding tooling support.

PUBLICATION RECORD

  • Publication year

    2022

  • Venue

    International Conference on Utility and Cloud Computing

  • Publication date

    2022-12-01

  • Fields of study

    Computer Science, Engineering

  • Identifiers
    DOI 10.1109/UCC56403.2022.00053
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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