mF2C provides a coordinated management of traditional cloud architectures and novel fog ones, offering unique capabilities for distributed execution of applications throughout IoT, fog and cloud environments across a variety of industry verticals. At the same time, it facilitates the efficient usage of resources within the stack built from the edge upt to the cloud, taking into consideration services' requirements (e.g. immediate data collection and processing, low latency) and user demands (e.g.

Auto-scaling Framework for Docker container orchestrated by Kubernetes [Infrastructure as Code]​

The MiCADO framework automates deployment and orchestration of applications in the cloud. The framework is generic, pluggable, technology agnostic as well as open-source and supports various public and private cloud environments, like Open Nebula, Open Stack, Azure, AWS, Cloud Sigma and CloudBroker Platform. 

In complex IOT systems, nowadays it is often the case that we might have requirements that require end-to-end encryption between an edge device and a backend system. However, it might still be interesting to be able to perform some sort of local decision making at the gateway level, be it to save bandwidth, or reduce the latency in the decision-making process.

The MUSA framework is the main result of the MUSA project and integrates a number of solutions to seamlessly tackle security in the life-cycle of (multi-) cloud applications.