Towards Sustainable Cloud Infrastructure: Energy Optimization and Resource Management

Cloud computing has transformed the delivery of computing, storage and software services, but the concentration of workloads in large data centres creates a significant sustainability challenge. This paper proposes an Energy-Aware Green Cloud Computing Framework (EGCCF) that combines workload-aware virtualization, carbonsensitive resource allocation, renewable-energy preference, intelligent cooling coordination, storage optimization and responsible hardware lifecycle management. The framework extends conventional green-computing practices by treating energy, carbon intensity, service quality and hardware utilization as related decision variables rather than isolated objectives. A conceptual architecture is presented in which a Green Resource Broker receives workload requirements, estimates the energy and carbon implications of candidate resources, and selects an allocation that satisfies service constraints while reducing environmental impact. The paper also identifies practical benefits, implementation challenges and evaluation measures suitable for educational institutions, enterprises and cloud providers. The proposed framework is intended as a conceptual model for future experimental implementation and does not claim measured performance results.