Artikel in Zeitschrift ART-2018-04

Bibliograph.
Daten
Bergmayr, Alexander; Breitenbücher, Uwe; Ferry, Nicolas; Rossini, Alessandro; Solberg, Arnor; Wimmer, Manuel; Kappel, Gerti: A Systematic Review of Cloud Modeling Languages.
In: ACM Computing Surveys (CSUR). Vol. 51(1).
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 1-38, englisch.
New York, NY, USA: ACM, 1. Februar 2018.
DOI: 10.1145/3150227.
Artikel in Zeitschrift.
CR-Klassif.K.6 (Management of Computing and Information Systems)
D.2.12 (Software Engineering Interoperability)
KeywordsCloud Computing; Domain-specific Languages; Modeling
Kurzfassung

Modern cloud computing environments support a relatively high degree of automation in service provisioning, which allows cloud service customers (CSCs) to dynamically acquire services required for deploying cloud applications. Cloud modeling languages (CMLs) have been proposed to address the diversity of features provided by cloud computing environments and support different application scenarios, such as migrating existing applications to the cloud, developing new cloud applications, or optimizing them. There is, however, still much debate in the research community on what a CML is, and what aspects of a cloud application and its target cloud computing environment should be modeled by a CML. Furthermore, the distinction between CMLs on a fine-grain level exposing their modeling concepts is rarely made. In this article, we investigate the diverse features currently provided by existing CMLs. We classify and compare them according to a common framework with the goal to support CSCs in selecting the CML that fits the needs of their application scenario and setting. As a result, not only features of existing CMLs are pointed out for which extensive support is already provided but also in which existing CMLs are deficient, thereby suggesting a research agenda.

Abteilung(en)Universität Stuttgart, Institut für Architektur von Anwendungssystemen
Projekt(e)SmartOrchestra
Eingabedatum5. März 2018
   Publ. Informatik