Artificial intelligence for traffic control in data networks: A Review
Traffic control in data networks has recently become very important due to the massive use of computer networks in different areas of society. Different techniques are usually used to carry out effective traffic control, allowing, among other things, to classify, predict and monitor network traffic....
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2022
- Institución:
- Universidad Católica de Pereira
- Repositorio:
- Repositorio Institucional - RIBUC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.ucp.edu.co:10785/13697
- Acceso en línea:
- https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2655
http://hdl.handle.net/10785/13697
- Palabra clave:
- Rights
- openAccess
- License
- Derechos de autor 2022 Entre Ciencia e Ingeniería
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Artificial intelligence for traffic control in data networks: A ReviewInteligencia artificial para el control de tráfico en redes de datos: Una RevisiónTraffic control in data networks has recently become very important due to the massive use of computer networks in different areas of society. Different techniques are usually used to carry out effective traffic control, allowing, among other things, to classify, predict and monitor network traffic. These techniques have evolved and are currently supported by artificial intelligence tools, which have made it possible to improve the results obtained with conventional techniques. This paper collects the different contributions made by the field of artificial intelligence to the improvement of these techniques and network management in general. The article describes the contributions made in aspects such as security, prediction, and classification of data traffic, as well as the optimization of routing in a computer network.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.Universidad Católica de Pereira2022-06-282023-08-29T03:49:40Z2023-08-29T03:49:40ZArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_2df8fbb1application/pdfapplication/xmlhttps://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/265510.31908/19098367.2655http://hdl.handle.net/10785/13697Entre ciencia e ingeniería; Vol 16 No 31 (2022); 17-24Entre Ciencia e Ingeniería; Vol. 16 Núm. 31 (2022); 17-24Entre ciencia e ingeniería; v. 16 n. 31 (2022); 17-242539-41691909-8367spahttps://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2655/2577https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2655/2639Derechos de autor 2022 Entre Ciencia e Ingenieríahttps://creativecommons.org/licenses/by-nc/4.0/deed.es_ESinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2León, Daruin ArleyMartínez Cuenca, James GustavoArdila Sánchez, Ismael AntonioMosquera Palacios, Darin Jairooai:repositorio.ucp.edu.co:10785/136972025-01-27T23:31:00Z |
| dc.title.none.fl_str_mv |
Artificial intelligence for traffic control in data networks: A Review Inteligencia artificial para el control de tráfico en redes de datos: Una Revisión |
| title |
Artificial intelligence for traffic control in data networks: A Review |
| spellingShingle |
Artificial intelligence for traffic control in data networks: A Review |
| title_short |
Artificial intelligence for traffic control in data networks: A Review |
| title_full |
Artificial intelligence for traffic control in data networks: A Review |
| title_fullStr |
Artificial intelligence for traffic control in data networks: A Review |
| title_full_unstemmed |
Artificial intelligence for traffic control in data networks: A Review |
| title_sort |
Artificial intelligence for traffic control in data networks: A Review |
| description |
Traffic control in data networks has recently become very important due to the massive use of computer networks in different areas of society. Different techniques are usually used to carry out effective traffic control, allowing, among other things, to classify, predict and monitor network traffic. These techniques have evolved and are currently supported by artificial intelligence tools, which have made it possible to improve the results obtained with conventional techniques. This paper collects the different contributions made by the field of artificial intelligence to the improvement of these techniques and network management in general. The article describes the contributions made in aspects such as security, prediction, and classification of data traffic, as well as the optimization of routing in a computer network. |
| publishDate |
2022 |
| dc.date.none.fl_str_mv |
2022-06-28 2023-08-29T03:49:40Z 2023-08-29T03:49:40Z |
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Artículo de revista http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2655 10.31908/19098367.2655 http://hdl.handle.net/10785/13697 |
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https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2655 http://hdl.handle.net/10785/13697 |
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10.31908/19098367.2655 |
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spa |
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spa |
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https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2655/2577 https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2655/2639 |
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Derechos de autor 2022 Entre Ciencia e Ingeniería https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 |
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Derechos de autor 2022 Entre Ciencia e Ingeniería https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES http://purl.org/coar/access_right/c_abf2 |
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Universidad Católica de Pereira |
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Universidad Católica de Pereira |
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Entre ciencia e ingeniería; Vol 16 No 31 (2022); 17-24 Entre Ciencia e Ingeniería; Vol. 16 Núm. 31 (2022); 17-24 Entre ciencia e ingeniería; v. 16 n. 31 (2022); 17-24 2539-4169 1909-8367 |
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Universidad Católica de Pereira |
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