Transforming Very Large Models in the Cloud: a Research Roadmap
| Autor: | Clasen, Cauê, Didonet del Fabro, Marcos, Tisi, Massimo |
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| Přispěvatelé: | Modeling Technologies for Software Production, Operation, and Evolution (ATLANMOD), Laboratoire d'Informatique de Nantes Atlantique (LINA), Mines Nantes (Mines Nantes)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-Mines Nantes (Mines Nantes)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-Département informatique - EMN, Mines Nantes (Mines Nantes)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Departamento de Informatica [Brésil], Universidade Federal do Paraná (UFPR) |
| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: | |
| Zdroj: | CloudMDE 2012-First International Workshop on Model-Driven Engineering on and for the Cloud CloudMDE 2012-First International Workshop on Model-Driven Engineering on and for the Cloud, Jul 2012, Copenhagen, Denmark |
| Popis: | International audience; Model transformations are widely used by Model-Driven Engineering (MDE) platforms to apply different kinds of operations over models, such as model translation, evolution or composition. However, existing solutions are not designed to handle very large models (VLMs), thus facing scalability issues. Coupling MDE with cloud-based platforms may help solving these issues. Since cloud-based platforms are relatively new, researchers still need to investigate if/how/when MDE solutions can benefit from them. In this paper, we investigate the problem of transforming VLMs in the Cloud by addressing the two phases of 1) model storage and 2) model transformation execution in the Cloud. For both aspects we identify a set of research questions, possible solutions and probable challenges researchers may face. |
| Databáze: | OpenAIRE |
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