Inteligencia artificial para el control de tráfico en redes de datos: Una Revisión

DOI: https://doi.org/10.31908/19098367.2655
Palabras clave: Gestión de tráfico, técnicas de control de tráfico, inteligencia artificial, aprendizaje automático, aprendizaje profundo

Resumen

El control del tráfico en las redes de datos ha cobrado gran importancia en los últimos tiempos debido al uso masivo que se le está dando a las redes informáticas en distintos ámbitos de la sociedad. Con el fin de realizar un control de tráfico efectivo, se suele hacer uso de diferentes técnicas que permiten, entre otras cosas, clasificar, predecir y monitorear el tráfico de la red. Estas técnicas han ido evolucionando y actualmente se apoyan en métodos de inteligencia artificial, lo cual ha permitido mejorar los resultados obtenidos con las técnicas convencionales. El presente artículo recopila los diferentes aportes realizados por el campo de la inteligencia artificial al mejoramiento de estas técnicas y a la gestión de redes en general. Se describen los aportes realizados en aspectos tales como la seguridad, la predicción y clasificación del tráfico de datos, así como la optimización del ruteo en una red informática.

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Biografía del autor

Daruin Arley León, Universidad Distrital Francisco José De Caldas

Tecnólogo en sistematización de datos de la Universidad Distrital Francisco José De Caldas, Bogotá, Colombia, 2018. Candidato a Ingeniero Telemático de la Universidad Distrital Francisco José De Caldas. Desarrollador de software senior. Áreas de interés: Ingeniería de Software, redes informáticas e Inteligencia Artificial.

James Gustavo Martínez Cuenca, Universidad Distrital Francisco José De Caldas

Tecnólogo en sistematización de datos de la Universidad Distrital Francisco José De Caldas, Bogotá, Colombia, 2018. Tecnólogo en electrónica de la Corporación Universitaria Minuto de Dios, Bogotá, Colombia, 2015. Candidato a Ingeniero Telemático de la Universidad Distrital Francisco José De Caldas. Desarrollador de software senior. Áreas de interés: Ingeniería de Software, redes informáticas e Inteligencia Artificial.

Ismael Antonio Ardila Sánchez, Universidad Distrital Francisco José De Caldas

Magister en gestión de proyectos del Instituto Europeo de Posgrado - IEP, Madrid, España, 2017. Ingeniero de Sistemas de la Universidad Antonio Nariño, Bogotá, Colombia, 2000. Docente de la Universidad Distrital Francisco José De Caldas. Áreas de interés: Redes de datos, gestión de proyectos, gestión de redes e ingeniería de software. 

Darin Jairo Mosquera Palacios, Universidad Distrital Francisco José De Caldas

Magister en teleinformática de la Universidad Distrital Francisco José De Caldas, Bogotá, Colombia, 2010. Ingeniero de Sistemas de la Universidad Autónoma De Colombia, Bogotá, Colombia, 1996. Director del grupo de investigación ORION de la Universidad Distrital Francisco José De Caldas. Docente de la Universidad Distrital Francisco José De Caldas. Áreas de interés: Medios de Transmisión, redes Inteligentes, redes Corporativas, gestión de Redes y seguridad en redes.

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Publicado
2022-06-28
Cómo citar
León, D., Martínez Cuenca, J., Ardila Sánchez, I., & Mosquera Palacios, D. (2022). Inteligencia artificial para el control de tráfico en redes de datos: Una Revisión. Entre Ciencia E Ingeniería, 16(31), 17-24. https://doi.org/10.31908/19098367.2655
Número
Vol. 16 Núm. 31 (2022)
Sección
Artículos
Derechos de autor 2022 Entre Ciencia e Ingeniería