The coexistence of the Internet of Things and Edge Computing aims to offer a processing
infrastructure close to end users that will improve the performance of applications and limit …

Machine Learning (ML) techniques have begun to dominate data analytics applications and
services. Recommendation systems are the driving force of online service providers such as …

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing)
and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to …

Abstract The Internet of Things (IoT) has been playing an important role in the technology
scenario due to its high potential and impact on different society segments. Estimates …

The IoT devices proliferation speed has engendered a necessity for data processing and
analytics capabilities as advanced as IoT networks are to take full advantage of the IoT …

Mobile edge computing (MEC) is a key feature of next-generation heterogeneous networks
aimed at providing a variety of services for different applications by performing related …

The massive number of Internet of Thing (IoT) devices and their continuous data collection
will lead to a rapid increase in the scale of collected data. Processing all these collected …

Summary form only given. Recent technological trends such as Industry 4.0 introduced new
challenges that push the limit of current computer and networking architectures. It demands …

Edge computing is envisioned to be the de-facto paradigm of hosting emerging low latency
Internet-of-Things (IoT) data streaming services. For IoT data streaming in edge computing …

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 …