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

The upcoming sixth-generation (6G) networks are expected to be more heterogeneous, scalable, reliable, secure and energy-efficient.

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

The full deployment of sixth-generation (6G) networks is inextricably connected with a holistic network redesign able to deal with various emerging challenges, such as integration of heterogeneous technologies and devices, as well as support of latency and bandwidth demanding applications.

A trend in future networks (i.e., beyond 5G and 6G) is the increasing virtualization and disaggregation of networks (i.e., Open Radio Access Network, network function virtulization/software-defined networking, or disaggregated optical networks, among others).

Network Applications is seen as a full-potential enabler for future vertical industries beyond current deployment. Therefore, it must be considered along with other 6G enabling technologies in the next-generation network architecture.

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.

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.