Clean air is a requirement for life, and the quality of indoor air is a health determinant since people spend most of their daily time indoors.

Accelerators are essential for achieving optimal performance and energy efficiency in computing. However, market segmentation often leads to language lock-ins, limiting flexibility across accelerators and increasing development costs.

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 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.

i3-MARKET Series - Part II: Data Economy, Models, Technologies and Solutions

i3-MARKET Book Series - Part I: A Vision to the future of Data-Driven Economy

i3-MARKET Series - Part III: The i3-MARKET FOSS Handbook 

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.

A proposal for a predictive analysis model for bike-sharing systems based on a mixed model of statistical and machine-learning approaches.The model assumes a Poisson distribution on bike station arrival and departures.

New technologies have been progressively integrated into vehicles during the last thirty years.

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.