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MODAClouds will provide methods, a decision support system (DSS) and 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 quality of services.

The project results target to help application developers to avoid the vendor lock-in problem by achieving Cloud-to-Cloud portability, evaluate and address risks of Cloud technologies, monitor the run-time performance and exploit Cloud flexibility and adaptation mechanism to provide quality assurance, and make decisions based on selected Key Performance Indicators.

Given this high level goal, MODAClouds research will be carried on addressing the following technical and scientific sub-objectives:

  1. Deliver an advanced software engineering model-based approach and an IDE to support systems developers in building and deploying applications, with related data, to multi-Clouds spanning across the full Cloud stack (IaaS/PaaS/SaaS).
  2. Define quality measures, monitoring mechanisms, prediction models, and adaptive policies to provide quality assurance in Clouds and multi-Clouds.
  3. Provide support to costs and risks assessment to increase trust in Clouds.
  4. Develop an integration framework between design tools and run-time.
  5. Create relevant and complex case studies for the entire risks assessment and software engineering methodologies based on practical industrial scenarios.
  6. Analyse and validate project outcomes through case studies.
  7. Ensure distribution of project results via (i) dissemination activities on relevant publication channels, (ii) training and (iii) standardisation of results.
  8. Provide the MODACLOUDS results as an open source solution supporting the full lifecycle of applications on multiple Clouds.
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