With the emergence of the Industry 4.0 paradigm, there is a need to introduce a significant
degree of flexibility, security and resilience in automation infrastructures, while keeping up …

Embedded computing systems are becoming increasingly relevant in the Internet of Things
(IoT) and edge computing domains, where they are often employed as the control entity of a …

Autonomous and software-defined vehicles (ASDVs) feature highly complex systems,
coupling safety-critical and non-critical components such as infotainment. These systems …

Modern edge real-time automotive applications are becoming more complex, dynamic, and
distributed, moving away from conventional static operating environments to support …

Modern applications for cyber-physical systems, such as autonomous driving, are more and
more often characterized by the interconnection of software components with mixed levels of …

With the advent of massively distributed applications such as those required by the IoT-to-
Edge-to-Cloud compute continuum (ie, automotive, smart agriculture, smart manufacturing …

In safety-critical systems, timing accuracy is the key to achieving precise I/O control. To meet
such strict timing requirements, dedicated hardware assistance has recently been …

In recent decades, mixed-criticality systems have been widely adopted to reduce the
complexity and development times of real-time critical applications. In these systems …

The IoT-to-Edge-to-Cloud compute continuum presents vast opportunities for innovative
applications, including crowdsensing, which leverages interconnected devices to gather real …

Optimizing memory utilization is crucial for achieving efficient performance in virtualized
systems. This paper explores the allocation of Huge Pages, larger page sizes, to improve …