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 …

With the expansion of the internet of things (IoT) devices and their applications, the demand
for executing complex and deadline-aware tasks is growing rapidly. Fog-enabled IoT …

With the rapid development of Internet of Things (IoT) technologies, fog computing has
emerged as an extension to the cloud computing that relies on fog nodes with distributed …

Due to the rapid growth of intelligent devices and the Internet of Things (IoT) applications in
recent years, the volume of data that is generated by these devices is increasing …

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 …

The current thinking concerning computations required by Internet of Things (IoT)
applications is shifting toward fog computing instead of cloud computing, thereby achieving …

With the proliferation of the Internet of Things (IoT), the current" cloud-only" architectures
cannot efficiently handle IoT's data processing and communications needs, while providing …

Executing complex and time-sensitive operations has become difficult due to the increased
acceptance of Internet of Things (IoT) devices and IoT-generated big data, which can result …

In order to improve the quality of experience in executing computation-intensive tasks of real-
time IoT applications in a fog-enabled IoT network, resource-constrained IoT devices can …

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 …