The growing development of the Internet of Things (IoT) is accelerating the emergence and
growth of new IoT services and applications, which will result in massive amounts of data …

Edge computing offloading can effectively solve the problem of insufficient computing
resources for terminal devices and improve the performance and efficiency of the system …

Edge computing places cloudlets with high computational capabilities near mobile devices
to reduce the latency and network congestion encountered in cloud server-based task …

In the context of the interconnection of everything, the edge data are experiencing explosive
growth, and the bandwidth and computing resources of cloud computing cannot be …

Mobile edge computing provides a low-latency, high-bandwidth cloud computing
environment for resource-constrained mobile devices by allowing mobile devices to offload …

Currently, the data collected by the Internet of Things (IoT) still relies on the cloud-centric
data aggregation and processing approach for preparing machine learning models. This …

Nowadays, there is a rapid development in vehicles world. Vehicles are equipped with smart
systems as well as infotainment applications. But such systems consume vehicles' …

The use of AI on Smart applications and in the organization of the network edge presents a
rapidly advancing research field, with a great variety of challenges and opportunities. This …

A vast array of IoT devices have been implemented worldwide as cloud computing and
virtualization have become more and more commonplace. Because of this, processing of …

Edge computing has emerged for meeting the ever-increasing computation demands from
delay-sensitive Internet of Things (IoT) applications. However, the computing capability of an …