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 …

Edge Computing (EC) emerges as an alternative to process the large volume of data
generated by devices connected to the Internet, through the Internet of Things (IoT). This …

In this chapter, we will summarize the challenges in Edge Computing and bring forward
some potential solutions and opportunities worth further research, including …

The burgeoning growth of the Internet of Things (IoT) has prompted a paradigm shift in
computing architectures, leading to the emergence and rapid evolution of edge computing …

Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis proximity to where data are captured based on artificial …

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 …

The key to the explosion of the Internet of Things and the ability to collect, analyze, and
provide big data in the cloud is edge computing, which is a new computing paradigm in …

Cloud computing faces a series of challenges, such as insufficient bandwidth, unsatisfactory
real-time, privacy protection, and energy consumption. To overcome the challenges, edge …

The Internet of Things (IoT) now permeates our daily lives, providing important measurement
and collection tools to inform our every decision. Millions of sensors and devices are …

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 …