The rapid growth of Internet of Things (IoT) devices and the increasing need for low-latency
and high-throughput applications have led to the introduction of distributed edge computing …

Accurately quantifying plant available water capacity (PAWC) of soil is important for
maximising crop yields in dryland cropping systems, as PAWC positively correlates with crop …

Load balancing is crucial in distributed systems like fog computing, where efficiency is
paramount. Offloading with different approaches is the key to balancing the load in …

As the volume and velocity of Big Data continue to grow, traditional cloud computing
approaches struggle to meet the demands of real-time processing and low latency. Fog …

The incorporation of end devices in the edge-to-cloud continuum yields substantial benefits
to conventional cloud computing frameworks, expediting communication between end …

Fog computing has emerged as the most popular technology for processing delay-sensitive
tasks in the Internet of Things platform. However, offloading tasks to suitable fog nodes (FNs) …

Emerging as an alternative to cloud computing, fog computing is expected to fulfill the
resource demand of mobile users and provide low-latency and high-bandwidth services for …

Abstract Modern Information and Communication Technology, Internet of Spatial Things
(IoT), cloud, fog, and mist computing enable an expansion of real-time geospatial …

Summary The Internet of Things (IoT) and fog computing (FC) can be integrated to manage
massive data processing and complex networks. It can improve communication performance …

In this paper, we propose RedgeX, a meta-learning based approach for generating
analytical models in a distributed edge intelligence network. The approach involves training …