Energy-Efficient Cloud Computing for Carbon Footprint Reduction: A Scientometric Analysis
摘要
The fast growth in cloud computing has raised alarm that it is increasingly consuming more energy and releasing carbon emissions. The research is a scientometric study of the literature on energy efficiency and sustainability in cloud computing published between 2015 and 2025 on the world literature, which explores the new avenues of ensuring reduction of carbon footprint. Based on the information found on Scopus and processed with the help of VOS viewer and Biblioshiny, this study presents major contributors, most popular journals, and developing trends that characterize the field. The total number of publications analysed was 325, with an average growth rate of 2.26 per year and an excellent level of international cooperation in 23.69% of the studies. In addition to bibliometric mapping, the analysis reveals a distinct research change, namely, the theoretical frameworks of energy optimization to AI-based workload scheduling, data centres that run on renewable energy, and carbon-sensitive resource management. The current research is innovative as it quantitatively assesses the incorporation of the idea of sustainability into cloud computing design and functioning and can provide recommendations regarding future research and policy interventions. The paper combines both scientometric evidence and the environmental lens in determining how the shift of cloud computing as a high-energy technology paradigm can be a driver of sustainable digital infrastructure.