Year: 2024
Type: article
Abstract: Cloud computing enables the delivery of computing services through the Internet, allowing access to resources on demand from any device and location.Efficient resource management in cloud data centres, including CPU, RAM, storage and bandwidth, is crucial for maximising utilisation and reducing costs.This paper proposes a novel resource management model optimised using a genetic algorithm, focusing on average utilisation of resources.Two approaches are evaluated: one adjusts the number of physical and virtual machines, while the other varies the probability of selecting virtual machine requests.By implementing this model, the research aims to enhance operational efficiency and service quality, demonstrating practical applications of metaheuristic algorithms in real-world cloud computing environments.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405567567