In this era of the Internet of Everything (IoE), edge computing has emerged as the critical
enabling technology to solve a series of issues caused by an increasing amount of …

By moving data computation and service supply from the cloud to the edge, edge computing
has become a promising solution to address the limitations of cloud computing in supporting …

Artificial Intelligence (AI) at the edge is the utilization of AI in real-world devices. Edge AI
refers to the practice of doing AI computations near the users at the network's edge, instead …

The proliferation of Internet of Things (IoT) and the success of rich cloud services have
pushed the horizon of a new computing paradigm, edge computing, which calls for …

The amount of data generated by sensors, actuators, and other devices in the Internet of
Things (IoT) has substantially increased in the last few years. IoT data are currently …

Remarkable advancements in embedded systems-on-a-chip have significantly increased
the number of commercial devices that possess sufficient resources to run full-fledged …

Edge computing is a distributed computing paradigm such that client data are processed at
the periphery of the network, as close as possible to the originating source. Since the 21st …

Edge computing brings computing and storage resources closer to (mobile) end users and
data sources, thus bypassing expensive and slow links to distant cloud computing …

The emergence of the Industrial Internet of Things (IIoT) has paved the way to real-time big
data storage, access, and processing in the cloud environment. In IIoT, the big data …

The proliferation of the Internet of Things and the success of rich cloud services have
pushed the horizon of a new computing paradigm, Edge computing, which calls for …