We are looking for new use cases where our solution can be implemented and demonstrated. Our Processing Virtual Infrastructure is suitable for any application that requires a data analytics processing back-end based on a filesystem. Its unique functionalities for dataset traceability offer an important differentiating factor for use cases where the tracing of datasets, models and software versions is a crucial feature (e.g. reproducibility, authorship and ownership, etc.)

This technology will be demonstrated in the cloud-based CHAIMELEON Repository, an R&D pilot infrastructure created in the framework of a H2020 RIA Project. The project includes internal and external validation phases.

The solution offered has excellent:

-Performance: with distributed and processing resources;

-Efficiency: with automatic horizontal elasticity for processing;

– Openness: components with open licenses for commercial exploitation.

The replicability of this software solution is high as it can be redeployed in the same conditions with minimal user intervention.

The sustainability of this solution is high as it enables low operational costs, since deploying and operating the platform does not require expert knowledge on cloud computing. In addition, the system uses open and widespread components with open licenses for commercial exploitation.