In the rapidly evolving landscape of IoT-Edge-Cloud continuum (IECC), effective management of computational tasks offloaded from mobile devices to edge nodes is crucial.

The term ‘Dynamic Heterogeneous Computing Sphere’ is used to describe a computing paradigm that is heterogeneous, volatile and highly dynamic.

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.

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 perspective paper introduces a novel framework for container orchestration called CODECO.

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.

Complex applications, which include microservices, computationally intensive batch jobs, and sophisticated interaction with the external environment, demand for heterogeneous computational infrastructures that range from cloud to HPC and edge computing.

The report “NEM Vision 2030 Towards a future media ecosystem” describes the NEM approach about the European media and creative industries sectors for the next decade.

While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models.

16th International Conference on Open Source Systems

Nowadays, the Internet of Things (IoT) ecosystem is experiencing a lack of interoperability across the multiple competing platforms that are available.

Paper in the IEEE Geoscience and Remote Sensing Society (IGARSS) 2019 Conference

Chapter in Book "Advanced Analytics and Artificial Intelligence Applications", 978-1-78984-639-3, by IntechOpen

Publication in Conference proceedings/Workshop “Big Data from Space” (BiDS’19), Munich, Germany, 19-21 February 2019. ISBN 978-92-76-00034-1 ISSN 1831-9424 doi: 10.2760/848593