Device-Edge-Cloud Intelligent Collaboration framEwork

Cloud computing has grown enormously over the past decade. This increase has been accompanied by a rise in new applications that rely on specialised hardware. Meanwhile, user requirements like security and location awareness are becoming common in smart cities, industrial automation and data analytics. Also, modern cloud applications are complicated and require a new cloud management framework. In this context, the EU-funded DECICE project will optimise the placement of workloads across the heterogeneous hardware landscape including cloud, edge and HPC. Bringing together 13 partners from Austria, Germany, Italy, Sweden, Turkey and the United Kingdom, the project will use a digital twin of the system to create a virtual training environment to test data for the training of machine learning models and the exploration of what-if scenarios.