Internet of Services Collaboration
MODAClouds: MOdel-Driven Approach for design and execution of applications on multiple Clouds
Current Cloud’s offer is becoming day by day wider providing a vibrant technical environment, where SMEs can
create innovative solutions and evolve their services. Cloud promises cheap and flexible services to end-users at
a much larger scale than before. However, Cloud business models and technologies are still in their initial hype
and characterized by critical early stage issues, which pose specific challenges and require advanced software
The main goal of MODAClouds is to provide methods, a decision support system, an open source IDE and
run-time environment for the high-level design, early prototyping, semi-automatic code generation, and automatic
deployment of applications on multi-Clouds with guaranteed QoS.
Model-driven development combined with novel model-driven risk analysis and quality prediction will enable
developers to specify Cloud-provider independent models enriched with quality parameters, implement these,
perform quality prediction, monitor applications at run-time and optimize them based on the feedback, thus filling
the gap between design and run-time. Additionally, MODAClouds provides techniques for data mapping and
synchronization among multiple Clouds.
MODAClouds innovations thus are: (i)simplify Cloud provider selection favoring the emergence of European
Clouds, (ii) avoid vendor lock-in problems supporting the development of Cloud enabled Future Internet
applications, (iii) provide quality assurance during the application life-cycle and support migration from Cloud to
Cloud when needed.
The research is multi-disciplinary and will be grounded on expertise from several research areas. MODAClouds
consortium consists of highly recognized Universities and research institutions that will assure a sound scientific
progress, SME partners providing expertise on modelling tools, and large companies that assure industry
relevance. The MODAClouds approach and tools will be applied on four industrial cases from different domains.