Enhancing Sustainability in Edge Computing Environments

This research presents an architecture-agnostic energy model for sustainable computing, integrating the Software Carbon Intensity (SCI) score to estimate energy usage and assess the environmental impact of software operations. It focuses on creating a reliable energy estimation model and developing a workload management strategy for edge devices, optimizing task distribution without sacrificing performance. The study also adapts Kubernetes for energy-aware orchestration, enhancing sustainability in managed systems. Overall, this scalable framework promotes energy-efficient computing while aligning technological progress with sustainability goals, advancing environmentally responsible practices in computing.