To enhance the intelligence of IoT devices, offloading sufficient learning and inferencing
down to the edge environment is promising. However, there are two main challenges for …

Internet of Things (IoT) devices are available in a multitude of scenarios, and provide
constant, contextual data which can be leveraged to automatically reconfigure and optimize …

With the development of serverless computing, developers can implement and deploy
business applications as a combination of stateless functions. Although originally proposed …

Digital twin (DT) can bridge the physical status with the virtual space in real-time for the
Industrial Internet of Things (IIoT), where the integration of federated learning (FL) with DT …

With the rapid development of computing power and artificial intelligence, IoT devices
equipped with ubiquitous sensors are gradually installed with intelligence. People can enjoy …

The combination of service virtualization and edge computing allows for low latency
services, while keeping data storage and processing local. However, given the limited …

Camera networks are essential to constructing fast and accurate mapping between virtual
and physical space for digital twin. In this paper, with the aim of developing energy-efficient …

Due to the revolution of communication technology, the rapidly increasing number of mobile
devices in edge networks generates various real-time service requests, requiring a …

With the explosive growth of the Internet of Things (IoT) devices deployed in edge networks,
the functionalities of IoT devices are typically encapsulated as IoT services, and user …

Edge computing servers (ECSs) have been widely deployed in large-scale mobile edge
computing (MEC) systems, which can provide nearby computing services by charging users …