Given nowadays increasing complexity of software systems, their architectural design prior to their actual implementation becomes quite complicated.

Chapter 8 of the book Holistic IoT Security, Privacy and Safety: Integrated Approaches Protecting A Highly Connected World, by Konstantinos Loupos (ed.), 2025. ISBN 978-1-63828-506-9. E-ISBN 978-1-63828-507-6.

Chapter 5 of the book Holistic IoT Security, Privacy and Safety: Integrated Approaches Protecting A Highly Connected World, by Konstantinos Loupos (ed.), 2025. ISBN 978-1-63828-506-9. E-ISBN 978-1-63828-507-6.

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.

In today’s ever-changing technological landscape, companies are constantly looking for innovative ways to increase efficiency and minimize costs, and even more nowadays with the advent of artificial intelligence and large language models.

The telecom sector continues its transition towards virtualizing infrastructure. The digitalization of assets and their commercialization in a marketplace is expected to play a central role in 6G networks.

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.

The COVID-19 pandemic is an example of a temporary situation when critical infrastructure (CI) operators had to operate with continuously changing conditions. The role of cyber infrastructure during pandemics, for example for the remote work or access to critical systems, has also changed.

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.

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

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.

"Critical infrastructure operators across Europe must prepare their facilities, equipment, and personnel to operate under more strenuous conditions in a warming climate. 

The feature extraction capabilities of Machine Learning (ML) models have led to their wide adoption in a large variety of sectors: from anomaly detection for machinery, to user clustering and behavioral prediction, market trends predictions, or the analysis of text, sound, and image data.