Enabling data processing at the network edge, as close to the actual source of data as
possible, is a challenging, yet realistic goal to be achieved by the Internet of Things (IoT) …

Summary The Internet of Things is underpinned by the global penetration of network‐
connected smart devices continuously generating extreme amounts of raw data to be …

Cloud and Fog computing have established a convenient and widely adopted approach for
computation offloading, where raw data generated by edge devices in the Internet of Things …

Development of internet of things (IoT) and smart devices eased life by offering numerous
applications targeting to provide real-time low latency services, but they also brought …

With the rapid growth of the Internet of Things (IoT), 5G networks and beyond, the computing
paradigm for intelligent IoT systems is shifting from conventional centralizedcloud computing …

Edge and Fog computing paradigms overcome the limitations of cloud-centric execution for
different latency-sensitive Internet of Things (IoT) applications by offering computing …

A major challenge in emergent scenarios such as the Cloud-assisted Internet of Things is
efficiently managing the resources involved in the system while meeting requirements of …

The burgeoning growth of the Internet of Things (IoT) has prompted a paradigm shift in
computing architectures, leading to the emergence and rapid evolution of edge computing …

To enable and support smart environments, a recent ICT trend promotes pushing
computation from the remote Cloud as close to data sources as possible, resulting in the …

We consider data-intensive real-time systems, such as mission-critical data-intensive
applications such as forest fire detection, medical emergency services, oil pipeline …