Energy Optimization in Software Development: A Comparative Study of Sorting Techniques

Energy Optimization in Software Development: A Comparative Study of Sorting Techniques
  IJETT-book-cover           
  
© 2024 by IJETT Journal
Volume-72 Issue-7
Year of Publication : 2024
Author : P.S. Felix, M. Mohankumar
DOI : 10.14445/22315381/IJETT-V72I7P137

How to Cite?

P.S. Felix, M. Mohankumar, "Energy Optimization in Software Development: A Comparative Study of Sorting Techniques," International Journal of Engineering Trends and Technology, vol. 72, no. 7, pp. 339-349, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I7P137

Abstract
The escalating levels of greenhouse gas emissions are attributable to human activities that fueled a pressing need to address energy consumption across various sectors, particularly in the realm of software development. This article explores the imperative of energy efficiency within the context of Green Software development, emphasizing its significance in mitigating environmental impact. Focusing on the comparative analysis of two widely-used sorting algorithms, Bubble Sort and Quick Sort, those study investigates their energy efficiency when handling large numerical datasets. The methodology encompasses meticulous steps, including application selection, data generation, power measurement, energy consumption analysis, and report generation. Through rigorous experimentation and analysis, the research article elucidates the energy consumption patterns of the sorting algorithms, providing insights into optimizing energy usage in software development. The findings underscore the importance of developing energy-efficient software systems, aligning with principles of environmental sustainability and responsible technological innovation.

Keywords
Green software development, Energy efficiency, Energy consumption analysis, Green metrics, Sustainable software engineering.

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