ADAPTADORES
DE RED
Un adaptador de red, también
llamado tarjeta de red, es el interfaz electrónico entre su ordenador (host) y
el cable que lo conecta a la red. Su función es que administra el tráfico de
información a través de la red para asegurar que la información llegue a su
destino. El adaptador de red se introduce en un slot libre de expansión de la
placa base del ordenador y el cable de red se enchufa al adaptador de red.
Hay tres tipos
de adaptadores de red que se utilizan en
las redes locales:
ARCnet: es usado en pequeñas redes peer-to-peer, son lentas pero fiables.
Ethernet: suele utilizarse en redes peer-to-peer y cliente-servidor razonablemente grandes es el doble de rápido que ARCnet.
Token Ring: se utilizan en redes más grandes de tipo cliente-servidor, cuyo funcionamiento debe ser absolutamente seguro.Son cuatro veces más caras que las Ethernet y resultan 1.5 veces más rápidas. Proporciona un diagnóstico del estado de la red y su administración.![](data:image/jpeg;base64,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)
ARCnet: es usado en pequeñas redes peer-to-peer, son lentas pero fiables.
Ethernet: suele utilizarse en redes peer-to-peer y cliente-servidor razonablemente grandes es el doble de rápido que ARCnet.
Token Ring: se utilizan en redes más grandes de tipo cliente-servidor, cuyo funcionamiento debe ser absolutamente seguro.Son cuatro veces más caras que las Ethernet y resultan 1.5 veces más rápidas. Proporciona un diagnóstico del estado de la red y su administración.
No hay comentarios:
Publicar un comentario