A. Bergmayr, U. Breitenbücher, N. Ferry, A. Rossini, A. Solberg, M. Wimmer, G. Kappel, F. Leymann:
"A Systematic Review of Cloud Modeling Languages";
Acm Computing Surveys,
1, Article 22.
Modern cloud computing environments support a relatively high degree of automation in service provisioning, which allows
cloud service customers (CSC) 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, e.g., 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-grained 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 which 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.
cloud computing, domain-specific languages, modeling
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