The implementation of the Internet of Things and 5G communications has pushed
centralized cloud computing toward edge computing resulting in a paradigm shift in …

The biggest challenge of task scheduling in Fog computing is to satisfy users' dynamic
requirements in real‐time with Fog nodes' limited resource capacities. Fog nodes' …

The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …

With the increasingly humanized and intelligent operation of Industrial Internet of Things
(IIoT) systems in Industry 5.0, delay-sensitive and compute-intensive (DSCI) devices have …

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 is a promising paradigm aimed at reducing latency and network traffic
between end devices and cloud servers. In fog computing systems, a fog node can be …

Typical cloud systems are often prone to inherent wide area network (WAN) latency. To
address this issue fog computing is proposed that enables resource-constrained Internet-of …

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 …

In recent times, fog computing becomes an emerging technology that can exhilarate the
cloud services towards the network edge for increasing the speeds up of various Internet-of …

In the era of the Internet of Things (IoT), fog computing has become an enticing concept for
supporting delay-sensitive tasks by offering versatile and convenient computing and …