Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …

The potential for an intelligent transportation system (ITS) has been made possible by the
growth of the Internet of things (IoT) and artificial intelligence (AI), resulting in the integration …

Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …

Fog computing has been widely integrated in the IoT-based systems, creating IoT-Fog-
Cloud (IFC) systems to improve the system performances and satisfy the quality of services …

Fog computing systems have been widely integrated in IoT-based applications to improve
quality of services (QoS) such as low response service delays. This improvement is enabled …

Fog computing has emerged as a computing paradigm for resource-restricted Internet of
things (IoT) devices to support time-sensitive and computationally intensive applications …

Fog computing networks have been widely integrated in IoT-based systems to improve the
quality of services (QoS) such as low response service delay through efficient offloading …

Mobile Edge Computing (MEC) is considered as a promising solution to augment the
computational capabilities of mobile devices. Because of frequently changing locations …

Internet of Things (IoT) devices are increasingly popular due to their wide array of
application domains. In IoT networks, sensor nodes are often connected in the form of a …

Thanks to the full play of the synergy of local node sets, fog Internet of Things (IoT)
technology has become the focus of many researchers. Unfortunately, the data transmission …