Explorando perspectivas técnicas, metodológicas y organizativas recientes sobre prácticas de green software
DOI:
https://doi.org/10.24054/raaas.v16i1.3706Palabras clave:
Software ecológico, optimización energética, huella de carbonoResumen
La ejecucion de algoritmos sofisticados especialmente en aplicaciones de inteligencia artificial y en la nube ha acelerado el consumo energetico y las emisiones de CO2 asociadas a su generacion. Este estudio realiza una revision sistematica de la literatura reciente sobre practicas de software ecologico y su potencial para minimizar la huella de carbono en el sector de las tecnologias de la informacion y las comunicaciones TIC. Los resultados ilustran la creciente adopcion de tecnicas de optimizacion energetica como el paradigma RMVRVM Remote Model View Remote View Model estrategias eficientes de ajuste de modelos de lenguaje de gran tamano y el desarrollo de metricas y metodologias para cuantificar el impacto de las aplicaciones. Sin embargo se observa la falta de una adopcion unificada de estandares y enfoques sostenibles a nivel organizacional. Se concluye que la integracion temprana de criterios de eficiencia energetica y responsabilidad social a lo largo del ciclo de vida del software es crucial para reducir significativamente el impacto ambiental de la tecnologia y que es fundamental mejorar la formacion de los profesionales.
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Derechos de autor 2025 REVISTA AMBIENTAL AGUA, AIRE Y SUELO
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial 4.0.
