Bagavathi Lakshmi, R. and Narayani., D. and Arunadevi, K. and Jayashree, - (2025) Sustainable Computing: Green Technologies for a Digital Future” Exploring the role of energy-efficient hardware, algorithms, and practices in reducing carbon footprints. In: Deep Intelligence: Merging Data Science, Artificial Intelligence, Healthcare and Finance to E-Commerce for Autonomous. STANZALEAF PUBLICATION. ISBN 978-81-984818-7-0
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Abstract
The digital revolution, while undeniably transformative, casts a lengthening shadow of environmental concern due to the exponential surge in energy consumption and the escalating carbon footprint of computing. Sustainable computing, or green computing, emerges as a critical imperative, dedicated to fostering energy-efficient hardware, optimizing algorithms, and promoting environmentally conscious practices within the digital realm. This research paper delves into the pivotal role of sustainable computing in mitigating the carbon emissions emanating from digital systems. We meticulously examine cutting-edge advancements in energy-efficient hardware, including the proliferation of low-power processors and the rise of data centers powered by renewable energy sources. Furthermore, we analyze algorithmic innovations designed to minimize energy utilization across computational processes. The paper also explores best practices for sustainable software development, emphasizing the responsibility of code in environmental impact, and underscores the crucial role of policy frameworks and industry standards in catalyzing the widespread adoption of green technologies. By synthesizing existing scholarly research and illuminating real-world implementations, this paper aims to underscore the profound potential of sustainable computing in forging a more environmentally harmonious digital future, ensuring that technological progress aligns with ecological responsibility.
| Item Type: | Book Section |
|---|---|
| Subjects: | Computer Science > Operating System |
| Domains: | Computer Science |
| Depositing User: | Mr Prabakaran Natarajan |
| Date Deposited: | 16 Dec 2025 10:48 |
| Last Modified: | 16 Dec 2025 10:48 |
| URI: | https://ir.vistas.ac.in/id/eprint/11551 |


