The huge amount of data generated by the Internet of Things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …

The fog paradigm extends the cloud capabilities at the edge of the network. Fog computing-
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …

In vehicular edge computing (VEC), vehicle users (VUs) can offload their computation-
intensive tasks to edge server (ES) that provides additional computation resources. Due to …

As a new form of computing based on the core technology of cloud computing and built on
edge infrastructure, edge computing can handle computing-intensive and delay-sensitive …

With mobile edge computing, vehicles can obtain nearby network resources and
computability and meet the growing demand for vehicular service at large scales. However …

In Mobile Edge Computing (MEC) environment, service deployment for IoT application is a
key issue that needs to be solved. Considering the knowledge of mobile users' service …

With the development of software technology, some complex mobile and Internet-of-Things
(IoT) applications can be constituted by a set of microservices. At present, mobile edge …

The huge amount of data generated by the Internet of things (IoT) devices needs the
computational power and storage capacity provided by cloud, edge, and fog computing …

In mobile edge computing environment, due to resources constraints of edge devices, when
user locations continue changing, the network will be delayed or interrupted, which affects …

Container virtualization technology represented by Docker has been widely used in the
industry due to its advantages of lightweight, fast deployment, and easy portability. This …