With the advent of the Internet of Everything, the proliferation of data has put a huge burden
on data centers and network bandwidth. To ease the pressure on data centers, edge …

The advances and convergence in sensor, information processing, and communication
technologies have shaped the Internet of Things of today. The rapid increase of data and …

This paper presents an in‐depth study and analysis of offloading strategies for lightweight
user mobile edge computing tasks using a machine learning approach. Firstly, a scheme for …

Emerging smarter eco-cities, inherently intertwined with environmental governance, function
as experimental sites for testing novel technological solutions and implementing …

In the context of smart cities, ensuring road safety is crucial due to increasing urbanization
and the interconnected nature of contemporary urban environments. Leveraging innovative …

In this paper, an adaptive edge service placement mechanism based on online learning and
a predictive edge service migration method based on factor graph model are proposed to …

Edge computing brings artificial intelligence algorithms and graphics processing units closer
to data sources, making autonomy and energy-efficient processing vital for their design …

The synergy of distributed frameworks with Artificial Intelligence (AI) is pivotal for advancing
applications in cloud computing. This review focuses on AI-powered applications in …

Dynamic vehicle detection requires the transmission of large amounts of data collected by
different types of sensors to the edge computing nodes. This is likely to cause network …

Edge computing technology in the context of artificial intelligence and the Internet of Things
refers to the integration of network core processing functions, computing functions, storage …