With the advent of new technologies in both hardware and software, we are in the need of a
new type of application that requires huge computation power and minimal delay …

The ultra-low latency requirements of 5G/6G applications and privacy constraints call for
distributed machine learning systems to be deployed at the edge. With its simple yet …

In recent years, the investigations on cyber-physical systems (CPS) have become
increasingly popular in both academia and industry. A primary obstruction against the …

With the widespread popularity of the Internet of Things and various intelligent medical
devices, the amount of medical data is rising sharply, and thus medical data processing has …

With the advent of Internet of Things (IoT) connecting billions of mobile and stationary
devices to serve real-time applications, cloud computing paradigms face some significant …

Sensor-cloud originates from extensive recent applications of wireless sensor networks and
cloud computing. To draw a roadmap of the current research activities of the sensor-cloud …

Edge-cloud computing, combining the benefits of both edge computing and cloud
computing, is one of the most promising ways to address the resource insufficiency of smart …

Recently, the number of Internet of Things (IoT) devices connected to the Internet has
increased dramatically as well as the data produced by these devices. This would require …

Over the past decade, wearable medical devices (WMDs) have become the norm for
continuous health monitoring, enabling real-time vital sign analysis and preventive …

This paper presents an in‐depth study and analysis of offloading strategies for lightweight
user mobile edge computing tasks using a machine learning approach. Firstly, a scheme for …