Energy-Efficient Resource Scheduling in Sustainable Cloud Data Centers

Abstract: Cloud data centers form the backbone of modern digital infrastructure but are also among the largest consumers of electrical energy. Rapid growth in cloud services has intensified concerns related to energy consumption, carbon emissions, and operational sustainability. Efficient resource scheduling has emerged as a key mechanism for reducing energy usage while maintaining service quality. This research paper investigates energy-efficient resource scheduling strategies in sustainable cloud data centers. A systematic scheduling framework is proposed that integrates workload characterization, virtual machine allocation, and dynamic power management. Simulation-based analysis demonstrates that energy-aware scheduling significantly reduces power consumption and improves resource utilization without violating quality-of-service constraints. The study highlights practical implications for cloud service providers and contributes to the development of greener and more sustainable cloud computing environments. Keywords: Cloud computing, energy efficiency, resource scheduling, sustainable data centers, green computing