MONDO: Scalable Modelling and Model Management on the Cloud

Abstract : Achieving scalability in modelling and MDE involves being able to construct large models and domain-specific languages in a systematic manner, enabling teams of modellers to construct and refine large models in collaboration, advancing the state of the art in model querying and transformations tools so that they can cope with large models (of the scale of millions of model elements), and providing an infrastructure for efficient storage, indexing and retrieval of large models. This paper outlines how MONDO, a collaborative EC-funded project, contributes to tackling some of these scalability-related challenges.
Type de document :
Communication dans un congrès
STAF2015 Project Showcase, 2015, L'Aquila, Italy
Liste complète des métadonnées

Littérature citée [40 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01394222
Contributeur : Massimo Tisi <>
Soumis le : mardi 8 novembre 2016 - 21:26:41
Dernière modification le : mercredi 11 avril 2018 - 02:00:21
Document(s) archivé(s) le : mardi 14 mars 2017 - 23:28:01

Fichier

paper10.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01394222, version 1

Collections

Citation

Dimitrios Kolovos, Louis Rose, Richard Paige, Esther Guerra, Jesús Cuadrado, et al.. MONDO: Scalable Modelling and Model Management on the Cloud. STAF2015 Project Showcase, 2015, L'Aquila, Italy. 〈hal-01394222〉

Partager

Métriques

Consultations de la notice

354

Téléchargements de fichiers

258