Abstract Machine learning has become an indispensable part of the existing technological
domain. Edge computing and Internet of Things (IoT) together presents a new opportunity to …

The advent of new cloud-based applications such as mixed reality, online gaming,
autonomous driving, and healthcare has introduced infrastructure management challenges …

Abstract The Internet of Things (IoT) tsunami, public embracement, and the ubiquitous
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …

The digital transformation is characterized by the convergence of technologies—from the
Internet of Things (IoT) to edge–fog–cloud computing, artificial intelligence (AI), and …

In an edge-cloud cooperative computing network, the task offloading performance can be
further improved by the edge-cloud and edge-edge cooperation, in which the tasks can be …

The fifth‐generation mobile communication technology (5G) provides high‐bandwidth and
low‐latency data channels for massive IoT terminals to access the core business network. At …

Future data-intensive intelligent applications are required to traverse across the cloud-to-
edge-to-IoT continuum, where cloud and edge resources elegantly coordinate, alongside …

Mobile Edge Computing (MEC) brings the benefits of cloud computing, such as computation,
networking, and storage resources, close to end users, thus reducing end-to-end latency …

The vast number of smart cloud applications that communicate with the “things” over a
variety of physical networks and communication protocols contribute to the rise of complexity …

The modern age networks are supposed to be connected, agile, programmable, and load
efficient to counter the side‐effects of an imbalanced network such as network congestion …