At the confluence of two great paradigms such as Edge Computing and Artificial Intelligence,
Edge Intelligence arises. This new concept is about the smart exploitation of Edge …

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 …

Edge computing offers computational resources near data-generating devices to enable low-
latency access. Especially for smart city contexts, edge computing becomes inevitable for …

Under the times of the Industrial Internet of Things, the traditional centralized machine
learning management method cannot deal with such huge data streams, and the problem of …

The Internet of Medical Things (IoMT) aims to exploit the Internet-of-Things (IoT) techniques
to provide better medical treatment scheme for patients with smart, automatic, timely, and …

Edge computing brings cloud services closer to the edge of the network, where data
originates, and dramatically reduces the network latency of the cloud. It is a bridge linking …

Processing big data generated in large Internet of Things (IoT) networks is challenging
current techniques. To date, a lot of network clustering approaches have been proposed to …

Context: Microservices running and being powered by Edge Computing have been gaining
much attention in the industry and academia. Since 2014, when Martin Fowler popularized …

We consider the problem of resource allocation, pricing and application caching for latency
sensitive task of floading in serverless edge computing. We model the interaction between a …

This report gives an overview of the Edge Computing paradigm and its applications. Indeed,
with the advent of the Internet of Things (IoT) era, many electronic devices and sensors …