Artikel in Tagungsband INPROC-2020-26

Wurster, Michael; Breitenbücher, Uwe; Harzenetter, Lukas; Leymann, Frank; Soldani, Jacopo; Yussupov, Vladimir: TOSCA Light: Bridging the Gap between the TOSCA Specification and Production-ready Deployment Technologies.
In: Proceedings of the 10th International Conference on Cloud Computing and Services Science (CLOSER).
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 216-226, deutsch.
SciTePress, Mai 2020.
DOI: 10.5220/0009794302160226.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.C.0 (Computer Systems Organization, General)
D.2 (Software Engineering)

The automation of application deployment is critical because manually deploying applications is time-consuming, tedious, and error-prone. Several deployment automation technologies have been developed in recent years employing tool-specific deployment modeling languages. At the same time, the OASIS standard Topology Orchestration Specification for Cloud Applications (TOSCA) emerged as a means for describing cloud applications, i. e., their components and relationships, in a vendor-agnostic fashion. Despite TOSCA is widely used in research, it is not supported by the production-ready deployment automation technologies daily used by practitioners working with cloud-native applications, hence resulting in a gap between the state-of-the-art in research and state-of-practice in the industry. To help bridging this gap, we leverage the recently introduced Essential Deployment Metamodel (EDMM) and identify TOSCA Light, an EDMM-compliant subset of TOSCA, to enact the transformation from TOSCA to the vast majority of deployment automation technology-specific models used by today’s software industry. Further, we present an end-to-end TOSCA Light modeling and transformation workflow and show a prototypical implementation to validate our approach.

KontaktMichael Wurster
Abteilung(en)Universität Stuttgart, Institut für Architektur von Anwendungssystemen
Eingabedatum25. Mai 2020
   Publ. Informatik