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An Evaluation of Modeling Options for Cloud-native Application Architectures to Enable Quality Investigations
Dürr, Karolin; Lichtenthäler, Robin (2022): An Evaluation of Modeling Options for Cloud-native Application Architectures to Enable Quality Investigations, in: 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) : Proceedings, IEEE, S. 297–304, doi: 10.1109/UCC56403.2022.00053.
Faculty/Chair:
Author:
Title of the Journal:
2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) : Proceedings
Conference:
2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC), 2022 ; Vancouver, WA, USA
Publisher Information:
Year of publication:
2022
Pages:
ISBN:
978-1-6654-6087-3
Language:
English
Licence:
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 ac-
cording 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.
embraces the potential of cloud computing. A possibility to
evaluate software architectures of cloud-native applications ac-
cording 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.
Keywords: ; ; ;
cloud-native
modeling
architecture description language
quality evaluation
Type:
Conferenceobject
Activation date:
March 22, 2023
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https://fis.uni-bamberg.de/handle/uniba/58753