Ardagna, Danilo; Di Nitto, Elisabetta; Casale, Giuliano; Petcu, Dana; Mohagheghi, Parastoo; Mosser, Sébastien; Matthews, Peter; Gericke, Anke; Ballagny, Cyril; D'Andria, Francesco; Nechifor, Cosmin-Septimiu et Sheridan, Craig
(2012).
« MODAClouds: a model-driven approach for the design and execution of applications on multiple clouds » (Proceedings of the 4th International Workshop on Modeling in Software Engineering, MiSE 2012, Zurich, Switzerland, June 2-3, 2012)
pp. 50-56.
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Résumé
—Cloud computing is emerging as a major trend in the ICT industry. While most of the attention of the research community is focused on considering the perspective of the Cloud providers, offering mechanisms to support scaling of resources and interoperability and federation between Clouds, the perspective of developers and operators willing to choose
the Cloud without being strictly bound to a specific solution is mostly neglected. We argue that Model-Driven Development can be helpful in this context as it would allow developers to design software systems in a cloud-agnostic way and to be supported by model transformation techniques into the process of instantiating the system into specific, possibly, multiple Clouds. The MODACLOUDS (MOdel-Driven Approach for the design and execution of applications on multiple Clouds) approach we present here is based on these principles and aims at supporting system developers and operators in exploiting multiple Clouds for the same system and in migrating (part of) their systems from Cloud to Cloud as needed. MODACLOUDS offers a qualitydriven design, development and operation method and features a Decision Support System to enable risk analysis for the
selection of Cloud providers and for the evaluation of the Cloud adoption impact on internal business processes. Furthermore,
MODACLOUDS offers a run-time environment for observing the system under execution and for enabling a feedback loop
with the design environment. This allows system developers to react to performance fluctuations and to re-deploy applications
on different Clouds on the long term.
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