Many industrial real-time applications in various domains, eg, automotive, industrial
automation, industrial IoT, and industry 4.0, require ultra-low end-to-end network latency …

IoT systems use sensors to collect data from smart environments and manage resources
through data analysis. An IoT system deals with many connected devices with different …

The Fifth Generation (5G) of mobile networks offers new and advanced services with stricter
requirements. Multi-access Edge Computing (MEC) is a key technology that enables these …

Low latency and on demand resource availability enable fog computing to host industrial
applications in a cloud like manner. One industrial domain which stands to benefit from the …

By bringing the processing and storage capabilities of the cloud closer to the end devices,
fog computing (FC) enhances the Quality of Service (QoS) for latency-critical Internet of …

The need for real-time analysis of smart data gave birth to the idea of fog computing. On one
hand, the introduction of the fog layer to the cloud-IoT ecosystem provides faster response …

Edge computing has emerged in recent years to reduce latency, conserve bandwidth, and
enhance privacy for applications. As more edge computing applications are being deployed …

Clouds are powerful computer centers that provide computing and storage facilities that can
be remotely accessed. The flexibility and cost-efficiency offered by clouds have made them …

The main concern of fog computing is reducing data transmission on the cloud. Moreover,
due to the short distance between end-user and fog nodes, fog computing considered more …

Edge computing has received much attention from industry and academia during the past
few years, owing to its inherent merits in improving latency and saving band-width. Unlike …