Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Abstract
The rapid growth of computing technologies has revolutionized industries, from healthcare to entertainment, but it has come at a significant cost: skyrocketing energy consumption. Data centers, cloud platforms, and even everyday devices like smartphones contribute to a growing environmental crisis, with computing now accounting for a notable share of global carbon emissions. As the world grapples with climate change, the need for sustainable solutions in software development has never been more urgent. Energy-efficient algorithms offer a promising way forward. By optimizing how software uses computational resources, these algorithms can significantly reduce energy consumption without compromising performance. This paper delves into the design, implementation, and evaluation of energy-efficient algorithm, exploring their potential to transform the way we build and use software. We propose a practical framework for assessing energy efficiency, supported by real-world case studies that demonstrate tangible benefits—from reducing the carbon footprint of data centers to extending the battery life of IoT devices. Our findings underscore a critical message: integrating energy efficiency into algorithmic design is not just a technical improvement—it’s a necessity for achieving long-term sustainability in software systems. By adopting energy-efficient practices, developers and organizations can contribute to a greener future while maintaining the performance and reliability users expect. This paper aims to inspire a shift in how we think about software development, emphasizing that sustainability and innovation can and must go hand in hand.
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Cite Article:
"Energy-Efficient Algorithms for Sustainable Software Development ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b700-b703, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504187.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator