摘要 Abstract 

In the age of Industrial Cloud Computing, the exponential rise in resource demands introduces critical operational challenges ranging from service interruptions and performance degradation to elevated energy consumption and increased exposure to security threats. These problems are often exacerbated by rigid virtual machine (VM) configurations, unpredictable workload fluctuations, and the co-location of multiple tenants on shared infrastructure. Consequently, the need for intelligent, fault-tolerant, and energy-aware cloud resource management strategies has become more pressing than ever. This research presents two novel frameworks such as VM Significance Ranking and Resource Estimation-based High Availability Management (SRE-HM) and Fault-Tolerant Elastic Resource Management (FT-ERM) to address these challenges with an integrated focus on reliability, efficiency, and sustainability. The SRE-HM framework enhances cloud service availability by dynamically prioritizing critical VMs based on their significance and estimated resource needs. Empirical results demonstrate a 19.56% improvement in service availability, along with a 26.67% reduction in active server usage and a 19.1% decrease in power consumption, thereby improving both cost-effectiveness and operational resilience. In parallel, the FT-ERM model introduces a predictive, fault-aware elasticity mechanism that proactively monitors and responds to server anomalies. This approach significantly improves system responsiveness, achieving a 34.47% boost in service availability, an 88.6% reduction in VM migrations, and a 62.4% drop in overall power usage. Together, these frameworks provide a robust and scalable foundation for intelligent cloud operations. Overall, this research paves the way for next-generation self-healing, secure, and energy-efficient industrial cloud infrastructures catalyzing advancements in automation, resource optimization, and cloud-native cybersecurity. Future work will focus on integrating federated learning and blockchain-based trust frameworks to further strengthen privacy-preserving, decentralized, and resilient cloud service ecosystems.