WP2 will elaborate and operate a flexible, easy to use environment for the development, deployment and execution
of large scale simulations, required for learning process development and for sensitivity analyses (a ‘Model Execution
Environment’), and for the associated data storage. The simulations will produce decision rule-sets that will be
transferred from the research infrastructure to the DSS, while built-in visualisation facilities will enable access to cloud
services from the local workstation.
The simulations will be run on external federated compute and storage resources exploiting recent advances in
distributed computing, especially in cloud and container technologies. Usage of resources will be optimised taking into
account multiple factors including cost and execution time. WP2 will closely collaborate with WP3 in the optimisation
of their software modules.
1. To provide and to develop the necessary infrastructure to:
* Collect, represent, annotate and publish the core homogeneous data
* Store and give secure access to the participating clinical centres and to the development partners to the necessary data.
* Execute the models in the most appropriate computational environment (private workstation, private cloud, public
cloud) according to need.
* Support real-time multiscale visualisation.
2. To develop an integrated security system supporting:
* Authentication and authorisation
* Data encryption for secure processing in public clouds.
3. To deploy and operate the developed infrastructure, ensuring:
* Quality of software components deployed and installed
* Quality of service, including such aspects as availability, responsiveness and cost efficiency
CYFRONET will lead the work package and will develop the model execution environment, including taking
responsibility for integration with the data warehouse, and will support WP5 in its deployment within WP5.
STHFT will design the data warehouse and the interface to the clinical systems.
DHZB will work with STHFT on the introduction and support of the clinical data system