A High Up-Time and Security Centered Resource Provisioning Model Toward Sustainable Cloud Service Management

Abstract

This paper addresses the pivotal challenge of achieving seamless performance in Cloud Data Centres $( \mathbb {CDC}\text{s}$ ) while meeting high availability, security, and sustainability requirements. Existing approaches often struggle to cater to all critical objectives simultaneously and overlook the significance of inter-dependent Virtual Machines (VMs) during resource distribution. To tackle these issues, a novel sustainable resource management model is proposed to provide high availability and reduce security breaches within $ \mathbb {CDC}\text{s}$ . The contributions include computing VM ranks to prioritize critical VMs for high availability, workload distribution with power and heat constraints for a sustainable environment, and minimizing security breaches through monitoring and terminating malicious VMs. Real-world Google Cluster workloads validate the model’s efficacy, showcasing improved availability, resource utilization, Power Usage Effectiveness (PUE), up to 15.11%, 19%, and 23.4%, respectively with reduced security breaches, and energy consumption up to 53.8% and 17.1%, respectively.