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Transforming Very Large Models in the Cloud: a Research Roadmap

Cauê Clasen 1 Marcos Didonet del Fabro 2 Massimo Tisi 1 
1 ATLANMOD - Modeling Technologies for Software Production, Operation, and Evolution
LINA - Laboratoire d'Informatique de Nantes Atlantique, Département informatique - EMN, Inria Rennes – Bretagne Atlantique
Abstract : 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.
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Submitted on : Monday, June 25, 2012 - 11:40:27 AM
Last modification on : Wednesday, April 27, 2022 - 4:10:26 AM
Long-term archiving on: : Wednesday, September 26, 2012 - 2:40:46 AM


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  • HAL Id : hal-00711524, version 1


Cauê Clasen, Marcos Didonet del Fabro, Massimo Tisi. Transforming Very Large Models in the Cloud: a Research Roadmap. CloudMDE 2012 - First International Workshop on Model-Driven Engineering on and for the Cloud, Jul 2012, Copenhagen, Denmark. ⟨hal-00711524⟩



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