The Internet is evolving rapidly toward the future Internet of Things (IoT) which will potentially
connect billions or even trillions of edge devices which could generate huge amount of data …

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 …

In order to describe the roadmap of current edge computing research activities, we first
address a brief overview of the most advanced edge computing surveys published in the last …

Cloud computing has significantly enhanced the growth of the Internet of Things (IoT) by
ensuring and supporting the Quality of Service (QoS) of IoT applications. However, cloud …

Driven by the visions of Internet of Things and 5G communications, the edge computing
systems integrate computing, storage, and network resources at the edge of the network to …

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 …

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 …

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 …

The Internet of Things (IoT) is impacting the world's connectivity landscape. More and more
IoT devices are connected, bringing many benefits to our daily lives. However, the influx of …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …