In the IoT-based systems, the fog computing allows the fog nodes to offload and process
tasks requested from IoT-enabled devices in a distributed manner instead of the centralized …

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

The fog-assisted cloud computing gives better quality of service (QoS) to Internet of things
(IoT) applications. However, the large quantity of data transmitted by the IoT devices results …

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

The rapid development of internet of things (IoT) gadgets and the increase in the rate of
sending requests from these devices to cloud data centers resulted in congestion and …

Fog computing has emerged as a complementary solution to address the issues faced in
cloud computing. While fog computing allows us to better handle time/delay-sensitive …

Fog computing is an emerging architecture intended for alleviating the network burdens at
the cloud and the core network by moving resource-intensive functionalities such as …

Fog-aided mobile IoT is proposed to speed up service response by deploying fog nodes at
network edges. We investigate the task allocation in fog-aided mobile IoT networks, where …

The fog computing model has emerged as a viable infrastructure for serving IoT applications
in recent years. In the fog ecosystem, it is essential to manage resources for different …

In recent years, the Internet of Things (IoT) has been one of the most popular technologies
that facilitate new interactions among things and humans to enhance the quality of life. With …