Vehicular ad hoc networks, wireless sensor networks, Internet of Things, and mobile device-
to-device communications can be modeled as different homogeneous fog networks, wherein …

A homogeneous fog network is defined as a group of peer nodes with sharable computing
and storage resources, as well as spare spectrum for node-to-node/device-to-device …

A fundamental problem in fog computing networks is how to schedule the deadline-aware
offloaded tasks that directly arrive from the end-users and via other fog nodes. The …

Fog computing has risen as a promising architecture for future Internet of Things, 5G and
embedded artificial intelligence applications with stringent service delay requirements along …

Due to an ever‐increasing number of Internet of Everything (IoE) devices, massive amounts
of data are produced daily. Cloud computing offers storage, processing, and analysis …

Through offloading the computing tasks of the task nodes (TNs) to the fog nodes (FNs)
located at the network edge, the fog network is expected to address the unacceptable …

By providing shared and flexible communication, computation, and storage resources along
the cloud-to-things continuum, fog computing has become an attractive technology to …

Future Internet of Things (IoT) networks enabled with fog computing is promising to achieve
lower processing delay and lighter link burden, by effectively offloading the computing tasks …

With the rapid advancement of Internet of Things (IoT) devices, a variety of IoT applications
that require a real-time response and low latency have emerged. Fog computing has …

Fog computing has become a platform of choice for executing emerging applications with
low latency requirements. Since the devices in fog computing tend to be resource constraint …