Authors: Assistant Professor Mr. Suraj Kanal, Mr. Mohak Sawant, Mr. Sujit Shedge, Dr. Jasbir Kaur
Abstract: The rapid proliferation of the Internet of Things (IoT) has introduced significant challenges in energy consumption, operational scalability, and environmental sustainability. Traditional cloud infrastructures, while providing scalable computing resources, contribute substantially to global carbon emissions. In this context, Green Cloud Computing (GCC) has emerged as a transformative strategy, focusing on energy-efficient practices, virtualization, and sustainable data management to support IoT ecosystems. This paper presents a comprehensive study of GCC practices tailored for IoT environments, elaborates on state-of-the-art technologies, and proposes a conceptual framework integrating edge computing, dynamic virtualization, and AI- driven energy management. Through simulated environments using CloudSim and iFogSim, the study evaluates the performance of the proposed framework in reducing energy consumption and improving operational efficiency. The paper also discusses security challenges, practical applications, and future research directions to guide the development of eco-friendly IoT infrastructures.
DOI: http://doi.org/