Nowadays, to meet the demands of Industry 4.0, a seamless convergence between the different cloud domains (edge, edge and cloud) is key for industries to have a cloud-native intelligent orchestration layer capable of establishing the necessary mechanisms to ensure continuity of services as data m

In industrial environments, cloud services and the Internet of Things (IoT) converge, with the need to manage complex and diverse computing environments for service and infrastructure providers, a process called cloud continuum.

This is the last document of a series of 3 for designing a Reference Architecture for the continuum. The first document of the series presented an initial version of a common taxonomy, considering it as a unified language for all actors of the value chain.

This is the second document of a series of three defining a reference architecture for the continuum. In the previous one, different building blocks were identified setting the path for the different aspects to be taken into account while defining the architecture.

As the global population is expected to reach 10 billion by 2050, the agricultural sector faces the challenge of achieving an increase of 60% in food production without using much more land.

Cloud and edge computing are essential technologies in a computing continuum to ensure data is managed more efficiently – closer to the originating source rather than transmitting raw data to data centres. As recent studies suggest, data processing is moving closer to the edge.