Citas bibligráficas
Paredes, Y., Nuñez, A. (2024). Distribución del Tráfico de datos utilizando SDN para los servicios de red LAN de los aeropuertos internacionales de Sudamérica [Trabajo de Suficiencia Profesional, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/674508
Paredes, Y., Nuñez, A. Distribución del Tráfico de datos utilizando SDN para los servicios de red LAN de los aeropuertos internacionales de Sudamérica [Trabajo de Suficiencia Profesional]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2024. http://hdl.handle.net/10757/674508
@misc{renati/1298243,
title = "Distribución del Tráfico de datos utilizando SDN para los servicios de red LAN de los aeropuertos internacionales de Sudamérica",
author = "Nuñez Herrera, Anderson Alfredo",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2024"
}
The project addresses the design of a network infrastructure using Software Defined Networking (SDN) technology for international airports in South America. The main objective is to efficiently manage the data traffic flows of the concessionaires that provide services to airports and their passengers. The design proposal involves the transition from a traditional three-layer network architecture to a two-layer architecture, composed of Spine and Leaf nodes, using Opendaylight recommendations and best practices to ensure a robust implementation aligned with the standards of the industry. To validate the design, tests were carried out using simulation tools such as GNS3, OPENDAYLIGHT, NPM (SolarWinds), OSTINATO and PingPlotter. These tools allowed evaluating the performance of the SDN network in terms of latency, bandwidth, traffic distribution and packet loss and the results were: Latency Reduction: During testing, network latency was reduced to 6.1 milliseconds, meeting the goal of keeping it below 10 milliseconds. Bandwidth Saturation Reduction: Bandwidth saturation on the main links was reduced to less than 60% of its capacity, meeting the proposed objective. Traffic Flow Distribution: Flow tables were implemented that allowed efficient traffic distribution, selecting the best available link and reducing network overload. Packet Loss Reduction: Tests showed a significant reduction in packet loss, improving the quality of data transmission between the access layer and computing services.
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