Exploring recent technical, methodological, and organizational perspectives on green software practices
DOI:
https://doi.org/10.24054/raaas.v16i1.3706Keywords:
Green Software, energy optimization, carbon footprintAbstract
Execution of sophisticated algorithms particularly in Cloud and artificial intelligence applications has accelerated energy consumption and CO2 emissions related with energy generation. This study conducts a systematic review of recent literature regarding green software practices and their potential towards minimizing the carbon footprint in the Information and Communications Technology sector. The outcomes illustrate the increasing adoption of energy optimization techniques such as the Remote Model View Remote View Model RMVRVM paradigm efficient large language model tuning strategies and the development of metrics and methodology to quantify the application impact. However the lack of unified adoption of standards and sustainable approaches at an organizational level are observed. It is concluded that the early integration of energy efficiency and social responsibility criteria throughout the software life cycle is crucial to significantly reduce the environmental impact of the technology and that enhancing the education of practitioners is fundamental.
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