Fog Computing has emerged as a pivotal technology for enabling low-latency, context-
aware, and efficient computing at the edge of the network. Effective task scheduling plays a …

Cloud computing (CC) is a computing paradigm to satisfy end users' computing and storage
needs. Cloud data centers (DC) must continuously improve their performance due to the …

With the development of computationally intensive applications, the demand for edge cloud
computing systems has increased, creating significant challenges for edge cloud 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 …

With the development of big data and communication technologies, the Internet of Things
(IoT) has permeated all aspects of smart cities. IoT smart city application scenarios are …

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 …

Recent years, edge-cloud computing has attracted more and more attention due to benefits
from the combination of edge and cloud computing. Task scheduling is still one of the major …

As IoT devices proliferate quickly, the amount of data generated has increased rapidly,
requiring analysis and storage in cloud data centers. To mitigate high data traffic and reduce …

Fog computing is characterized by its proximity to edge devices, allowing it to handle data
near the source. This capability alleviates the computational burden on data centers and …

We consider the case of a set of energy harvesting edge nodes, equipped with photovoltaic
panels that implement some kind of monitoring service. To ensure that the service operates …