Abstract The Internet of Things (IoT) is constantly evolving and expanding. However, due to
the limited IoT resources, it is intertwined with fog computing to use their resources to …

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 …

As IoT devices proliferate quickly, the amount of data generated has increased rapidly,
requiring analysis and storage in cloud data centers. To mitigate high data traffic and reduce …

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 …

The Internet of Things (IoT) paradigm is at the forefront of present and future research
activities. The huge amount of sensing data from IoT devices needing to be processed is …

Fog-Cloud computing has become a promising platform for executing Internet of Things (IoT)
tasks with different requirements. Although the fog environment provides low latency due to …

In the Internet of Things (IoT) ecosystem, some processing is done near data production
sites at higher speeds without the need for high bandwidth by combining Fog Computing …

The Fog computing paradigm allow applications to be processed at the edge of a network.
This paradigm is designed to mitigate high latency and the burden of task requests sent to …

Fog computing is introduced to improve the performance of cloud computing by deploying
fog node (s) near the edge of the network in order to process the data locally. A fog node that …

As the amount of data input increases, fog devices on IoT edge networks become
increasingly inefficient. However, a well-designed fog computing resource-scheduling …