With the maturity of 5G and Intelligent Transportation Systems (ITS) technologies and the
prospect of Beyond 5G (B5G) and 6G technologies, the limited lifetime and computing of …

In the era of the Internet of Things (IoT), the volume of data is increasing immensely causing
rapid growth in network data communication and data congestion. Computational offloading …

With the widespread application of wireless communication technology and continuous
improvements to Internet of Things (IoT) technology, fog computing architecture composed …

Cloud computing has long been the main backbone that Internet of Things (IoT) devices rely
on to accommodate their storage and analytical needs. However, the fact that cloud systems …

Computational offloading becomes an important and essential research issue for the delay-
sensitive task completion at resource-constraint end-users. Fog computing that extends the …

Nowadays, billions of Internet-of-Things devices generate various types of delay-sensitive
tasks to process within a limited time frame. By processing the tasks at the network edge …

Through offloading the computing tasks of the task nodes (TNs) to the fog nodes (FNs)
located at the network edge, the fog network is expected to address the unacceptable …

Fog computing (FC) has recently emerged as a promising new paradigm that provides
resource-intensive Internet of Things (IoT) applications with low-latency services at the …

The growing storage and compute stacks in cloud data centers are expected to
accommodate the majority of Internet traffic in the future. However, as the number of mobile …

The cloud-fog computing paradigm is a novel hybrid computing model that delivers
computational services to Fog nodes situated near data sources. This paradigm features a …