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 rapid growth in miniaturization of low-power embedded devices and advancement in
the optimization of machine learning (ML) algorithms have opened up a new prospect of the …

Mobile edge computing (MEC) is an emergent architecture where cloud computing services
are extended to the edge of networks leveraging mobile base stations. As a promising edge …

Internet of Things (IoT) is an integration of the Sensor, Embedded, Computing, and
Communication technologies. The purpose of the IoT is to provide seamless services to …

A novel paradigm that changes the scene for the modern communication and computation
systems is the Edge Computing. It is not a coincidence that terms like Mobile Cloud …

The wave of modernization around us has put the automotive industry on the brink of a
paradigm shift. Leveraging the ever-evolving technologies, vehicles are steadily …

Fog computing is an emerging technology to address computing and networking bottlenecks
in large scale deployment of IoT applications. It is a promising complementary computing …

It is the overriding trend of the present-day world that traditional systems and mobile devices
are currently transforming into intelligent systems and smart devices. Against this backdrop …

The edge computing (EC) paradigm brings computation and storage to the edge of the
network where data is both consumed and produced. This variation is necessary to cope …

Major interest is currently given to the integration of clusters of virtualization servers, also
referred to ascloudlets' oredge clouds', into the access network to allow higher performance …