| Title | Green Computing: Sustainable IT Infrastructure and Energy Efficiency Approaches for Eco-Friendly Technology Adoption |
| Research Area | Green Computing |
| Abstract | Green computing refers to the design, development, and implementation of computing systems that minimize environmental impact by reducing energy consumption, carbon emissions, and electronic waste. With rapid digital transformation and data center expansion, energy demand from IT infrastructure has increased significantly, resulting in sustainability challenges. This paper provides a comprehensive overview of sustainable computing techniques, including virtualization, cloud migration, energy-aware scheduling, and carbon-neutral hardware deployment. The research explores eco-friendly frameworks for data center optimization, renewable integration, and power-aware algorithms that improve computational efficiency. The study concludes with a performance comparison between traditional and energy-efficient IT infrastructure, demonstrating that green computing can reduce operational cost by 25–40% while significantly lowering carbon footprint. Future scope includes AI-driven autonomous energy management in next-generation smart data centers. |
| Keywords | Green Computing, Sustainable Infrastructure, Energy Efficiency, Cloud Optimization, Carbon Footprint, Virtualization, Renewable Energy |
| Paper Status | Published |
| Volume | 1 |
| Issue | 4 |
| Published On | 15/08/2025 |
| Published File |
IJSRTD_4859.pdf
|