Paper Title
Developing Green Computing models on AWS

Abstract
The technology industry has made green computing a top priority due to the necessity to minimize environmental effects while preserving computational efficiency. In order to optimize energy consumption and reduce carbon footprint, this study investigates the construction of green computing models on Amazon Web Services (AWS), utilizing its scalable cloud infrastructure. To achieve sustainable computing, the suggested models combine dynamic scaling, resource optimization techniques, and energy-efficient algorithms. The models adjust to different workloads by using AWS services like EC2, Lambda, and Auto Scaling, guaranteeing low energy consumption without sacrificing performance. The study also addresses the role that AWS’s sustainability initiatives play in improving the broader framework for green computing, as well as the possibility for integrating renewable energy. The findings show that these models can drastically save operating expenses and energy consumption, making them attractive options for businesses looking to integrate green computing techniques on cloud platforms. Keywords - Green Computing, AWS, Energy Efficiency, Cloud Infrastructure, Sustainable Computing, Resource Optimization, Dynamic Scaling, Renewable Energy, Carbon Footprint Reduction.