With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

In edge computing, edge devices can offload their overloaded computing tasks to an edge
server. This can give full play to an edge server's advantages in computing and storage, and …

Low-latency IoT applications, such as autonomous vehicles, augmented/virtual reality
devices, and security applications, require high computation resources to make decisions on …

Edge computing is promoted to meet increasing performance needs of data-driven services
using computational and storage resources close to the end devices at the edge of the …

Latency-sensitive and data-intensive applications, such as IoT or mobile services, are
leveraged by Edge computing, which extends the cloud ecosystem with distributed …

The number of smart devices newly connected to the Internet has grown exponentially in
recent years. These smart devices are interwoven into huge Internet of Things. There is a …

Edge computing is a new architecture to provide computing, storage, and networking
resources for achieving the Internet of Things. It brings computation to the network edge in …

The recent trend in the Internet of Things (IoT) is to distribute and move the computation from
centralized cloud devices to edge devices which are closer to data sources. Researchers …

Nowadays, billions of Internet of Things (IoT) devices arise around us running complex and
computation-intensive applications. Due to the limited resources of the IoT devices, it is …

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 …