The evolution of industrial environments makes the reconfigurability and flexibility key
requirements to rapidly adapt to changeable market needs. Computing paradigms like …

Technological advances in embedded systems and the advent of fog computing led to
improved quality of service of applications of cyber-physical systems. In fact, the deployment …

Following the needs of industrial applications, virtualization has emerged as one of the most
effective approaches for the consolidation of mixed-criticality systems while meeting tight …

Vulnerabilities in open-source operating systems (OSs) pose substantial security risks to
software systems, making their detection crucial. While fuzzing has been an effective …

Dynamic thermal management (DTM) has been widely adopted to improve the energy
efficiency, reliability, and performance of modern Multi-Processor SoCs (MPSoCs) …

Virtualization techniques are attracting interest in industrial applications to implement mixed-
criticality systems taking full advance of modern embedded architectures, such as Multi …

In recent years, we are witnessing the advent of service computing and cloud technologies
in industrial applications, with intriguing innovations and novel compelling challenges. For …

Time predictable edge cloud is seen as the answer for many arising needs in Industry 4.0
environments, since it is able to provide flexible, modular, and reconfigurable services with …

In the industrial ecosystem, both the manufacturing and edge clouds collaborate via
virtualisation technology, playing a crucial role in the efficient aggregation and processing of …

Orchestration systems are becoming a key component to automatically manage distributed
computing resources in many fields with criticality requirements like Industry 4.0 (14.0) …