MONDO: Scalable modelling and model management on the Cloud

Dimitrios S. Kolovos, Antonio Garcia-Dominguez, Richard F. Paige, Esther Guerra, Jesús Sánchez Cuadrado, Juan De Lara, István Ráth, Dániel Varró, Gerson Sunyé, Massimo Tisi

Research output: Contribution to journalConference articlepeer-review


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, has contributed to tackling some of these scalability-related challenges.

Original languageEnglish
Pages (from-to)55-64
Number of pages10
JournalCEUR workshop proceedings
Publication statusPublished - 3 Sept 2016
Event2016 Joint Doctoral Symposium and Projects Showcase Held as Part of STAF, STAF16-DS-PS 2016 - Vienna, Austria
Duration: 4 Jul 20167 Jul 2016


Dive into the research topics of 'MONDO: Scalable modelling and model management on the Cloud'. Together they form a unique fingerprint.

Cite this