Sustainable Cloud Resource Deployment: Integrating Real-Time Energy Data and Edge Continuum for Optimized Cloud Operations

The environmental impact of cloud computing has driven a demand for transparent, sustainable resource deployment in data centers. However, current sustainability efforts by cloud providers often lack real-time insights into the energy composition of cloud regions, limiting users’ control over deployment decisions based on renewable energy sources. This study introduces a system integrating real-time energy data and an edge continuity feature, enabling users to prioritize ecologically favorable regions for deploying cloud resources. The system supports the selection of Amazon Web Services (AWS) regions by fuel source and allows cross-region replication of resources, improving both resilience and performance. Results indicate a significant reduction in carbon footprint for deployments while enhancing system availability. The findings emphasize the importance of automated energy monitoring to support sustainable cloud infrastructure management.