Green Computing Sustainable IT: Using Edge Computing for Digital Infrastructure

This paper explores the role of edge computing as a practical and sustainable approach to green computing in modern digital infrastructure. With the rapid growth of data-intensive applications, IoT devices, and real-time services, traditional centralized cloud data centers are facing increasing challenges related to energy consumption, latency, bandwidth usage, and environmental impact. The study presents a distributed edge-computing framework that processes data closer to its source, thereby reducing dependency on centralized cloud systems. By integrating energy-aware resource management and renewable energy considerations, the proposed approach aims to minimize carbon emissions while maintaining system performance and scalability. The paper evaluates the framework using key metrics such as energy consumption, latency, bandwidth usage, and overall efficiency, and compares the results with conventional cloud-centric architectures. The findings demonstrate that shifting suitable workloads to edge nodes can significantly reduce energy usage and network overhead while improving real-time responsiveness. This research highlights edge computing as a viable and scalable solution for building eco-efficient digital ecosystems and aligns technological advancement with environmental responsibility. The work contributes to ongoing research at the intersection of sustainable IT, green computing, and next-generation distributed computing architectures.