MONDO - Scalable Modelling and Model Management on the Cloud (ICT-611125)
Overview
As Model Driven Engineering (MDE) is increasingly applied to larger and more complex systems, the current generation of modelling and model management technologies are being pushed to their limits in terms of capacity and efficiency. As such, additional research and development is imperative in order to enable MDE to remain relevant with industrial practice and to continue delivering its widely-recognised productivity, quality, and maintainability benefits.
The aim of MONDO is to tackle the increasingly important challenge of scalability in MDE by developing the theoretical foundations and an open-source cloud-based platform for scalable modelling and model management. 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 a collaborative manner, 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.
To address these challenges, MONDO brings together academic partners with a long track record of performing internationally-leading research on software modelling and MDE and delivering research results in the form of robust, widely-used and sustainable open-source software, industrial partners active in the wind-turbine control, software modernisation, construction and modelling tool development domains, an advisory board of world-class experts in the fields of modelling and software engineering, and a global consortium including more than 300 organisations from all sectors of IT.
Deliverables
- D3.1 - [Benchmarks]
Meeting minutes
Project admins
Dimitris Kolovos
Jesús Sánchez Cuadrado
Juan de lara
Alessandra Bagnato
Salva Trujillo
daniel.varro
István Ráth
Louis Rose
szarnyasg
izso
eguerra
xmendialdua
Massimo
amine benelallam
Richard paige
William Wei
Seyyed
nuno amalio
pedro maló
edgar silva
Erwan breton
Abel Gómez
Etienne brosse
steindani
abel hegedus
makaijozsef
kostas_barmpis
Technical info
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