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.

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.

16th International Conference on Open Source Systems

This paper presents an overview of the ECSEL 1 project entitled “MegaModelling at runtime – Scalable model-based framework for continuous development and runtime validation of complex systems” (MegaM@Rt2), whose aim is to address the challenges facing MDE.

Successful software evolution heavily depends on the selection of the right features to be included in the next release. Such selection is difficult, and companies often report bad experiences about user acceptance.

Software Product Lines (SPLs) capture commonalities and variability of product families, typically represented by means of feature models.

Software Product Lines (SPLs) capture commonalities and variability of product families, typically represented by means of feature models.

Over the past decade, cloud services emerged as one of the most promising technologies in IT.