MONDO: Scalable Modelling and model management on the cloud

Dimitrios S. Kolovos, Louis M. Rose, Richard F. Paige, Esther Guerra, Jes̈us Sánchez Cuadrado, Juan De Lara, István Ráth, Dániel Varró, Gerson Sunyé, Massimo Tisi

Research output: Conference article

6 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)44-53
Number of pages10
JournalCEUR Workshop Proceedings
Publication statusPublished - jan. 1 2015
EventProjects Showcase @ Software Technologies, Applications, and Foundations, STAF 2015 - L'Aquila, Italy
Duration: júl. 22 2015 → …

ASJC Scopus subject areas

  • Computer Science(all)

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    Kolovos, D. S., Rose, L. M., Paige, R. F., Guerra, E., Cuadrado, J. S., De Lara, J., Ráth, I., Varró, D., Sunyé, G., & Tisi, M. (2015). MONDO: Scalable Modelling and model management on the cloud. CEUR Workshop Proceedings, 1400, 44-53.