Green-AI for Sustainable Software Practices: An Assessment and Optimization Model Tailored to Small Software Enterprises
Keywords:
Green-AI, Sustainable Software Engineering, Software Process Optimization, Small Software Enterprises, Environmental Sustainability, Decision Support SystemsAbstract
Green Artificial Intelligence (Green-AI) aims to minimize the environmental footprint of AIsystems while ensuring their effectiveness. For small software enterprises (SSEs), the dual challenge lies in embedding
References
L. F. W. Anthony, B. Kanding, and R. Selvan, “Carbontracker: Tracking and predicting the carbon footprint of training deep learning models,” arXiv preprint arXiv:2007.03051, 2020.
S. A. Budennyy, A. A. Kosterina, and L. E. Zhukov, “eco2AI: Carbon emissions tracking of machine learning models as the first step towards sustainable AI,” Doklady Mathematics, vol. 106, no. 3, pp. 225–228, 2022.
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Published
2024-06-20
How to Cite
Aruna T M,Dr.Piyush Kumar Pareek. (2024). Green-AI for Sustainable Software Practices: An Assessment and Optimization Model Tailored to Small Software Enterprises . Journal of Computational Analysis and Applications (JoCAAA), 32(2), 641–647. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/3739
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