The Carbon Calculus: Evaluating the Environmental Cost of Large-Scale Predictive Systems
Keywords:
Carbon Footprint Assessment, Machine Learning Inference, Model Distillation, Carbon Aware Computing, Sustainable ML EngineeringAbstract
Large-scale predictive systems now underpin much of the digital economy, but their environmental costsremain poorly understood and rarely quantified. This article presents a comprehensive framework for evaluating the carbon footprint of machine learning prediction platforms across
References
Emma Strubell et al., "Energy and Policy Considerations for Deep Learning in NLP", arXiv, 2019. [Online]. Available: https://arxiv.org/pdf/1906.02243
Aniruddha Das and Avisikta Modak, "The Carbon footprint of Machine Learning Models", IJERA, 2023. [Online]. Available: https://ijera.in/index.php/IJERA/article/view/85/69
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Published
2026-03-11
How to Cite
Priyadharshini Krishnamurthy. (2026). The Carbon Calculus: Evaluating the Environmental Cost of Large-Scale Predictive Systems . Journal of Computational Analysis and Applications (JoCAAA), 35(3), 182–191. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5101
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