The volume of edge data has reached ZB level, placing enormous strain on the core network
bandwidth due to the rapid development of contemporary technology and the quick …

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 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 …

Edge has become a growing trend in recent years. Bringing computing and analytics
remarkably close to the data where it originated is the leading cause of edge computing. As …

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 …

This paper explores the paradigm of edge computing within the Internet of Things (IoT)
ecosystem, with a focus on its transformative influence on IoT systems. Edge computing …

Driven by the vision of the Internet of things (IoT) and recent technological advances, the
past few years have seen a paradigm shift from centralized cloud computing to edge …

Edge computing helps to reduce cost, as processing at the edge eliminates the need to
move data to the cloud. Furthermore, because data is processed at the edge, there is no …