Artikel in Tagungsband INPROC-2014-66

Bibliograph.
Daten
Hirmer, Pascal; Breitenbücher, Uwe; Binz, Tobias; Leymann, Frank: Automatic Topology Completion of TOSCA-based Cloud Applications.
In: Proceedings des CloudCycle14 Workshops auf der 44. Jahrestagung der Gesellschaft für Informatik e.V. (GI).
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
LNI; 232, S. 247-258, englisch.
Bonn: Gesellschaft für Informatik e.V. (GI), 22. September 2014.
ISBN: 978-3-88579-626-8.
Artikel in Tagungsband (Workshop-Beitrag).
CR-Klassif.K.6 (Management of Computing and Information Systems)
KeywordsTOSCA; Automatic Topology Completion; Provisioning; Cloud Computing; Topology Modeling
Kurzfassung

Automation of application provisioning is one of the key aspects of Cloud Computing. Standards such as the Topology and Orchestration Specification for Cloud Applications (TOSCA) provide a means to model application topologies which can be provisioned fully automatically. Many automated provisioning engines require that these topologies are complete in the sense of specifying all application, platform, and infrastructure components. However, modeling complete models is a complex, timeconsuming, and error-prone task that typically requires a lot of technical expertise. In this paper, we present an approach that enables users to model incomplete TOSCA application topologies that are completed automatically to deployable, complete models. This enables users to focus on the business-relevant application components and simplifies the creation process tremendously by minimizing the required effort and know-how. We prove the technical feasibility of the presented approach by a prototypical implementation based on the open source modeling tool Winery. In addition, we evaluate the approach by standards-compliance and performance.

Volltext und
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LNI
Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware
Universität Stuttgart, Institut für Architektur von Anwendungssystemen
Projekt(e)CloudCycle
Eingabedatum2. September 2014
   Publ. Institut   Publ. Informatik