The cloud paradigm is one of the most trending areas in today's era due to its rich profusion
of services. However, it fails to serve the latency-sensitive Industrial Internet of Things (IIoT) …

This paper presents a novel offloading technique designed to enhance the efficiency of
Internet of Things (IoT) applications within a sophisticated three-layer architecture situated in …

In this paper, we present a novel artificial intelligence-based fog controller, called FogAI that
provides a versatile control mechanism to the fog layer. FogAI not only abstracts the control …

Offloading the dynamic tasks with fog computing is envisioned as a viable option for
prolonging resource-limited constraints and improving the computational and …

With the rapid development of the internet of things (IoT) devices and applications, the
necessity to provide these devices with high processing capabilities appears to run the …

Fog computing is seen as a key enabler to meet the stringent requirements of industrial
Internet of Things (IIoT). Specifically, lower latency and IIoT devices' energy consumption …

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 …

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 …

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 …

Internet of Things (IoT) devices along with associated software have proliferated at an
unprecedented pace, presenting the challenge of high energy use combined with latency …