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Implementación SDN de Arquitecturas Spine & Leaf Multidimensionales


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Título :
Implementación SDN de Arquitecturas Spine & Leaf Multidimensionales
Autor :
Ambrazavicius, Tomas
Tutor:
Alcaraz, Salvador  
Roig, Pedro Juan  
Editor :
Universidad Miguel Hernández de Elche
Departamento:
Departamentos de la UMH::Ingeniería de Comunicaciones
Fecha de publicación:
2024-12
URI :
https://hdl.handle.net/11000/36199
Resumen :
Este Trabajo de Fin de Grado consiste en modelar una topología de switches Spine-Leaf multidimensionales en un entorno SDN (Software Defined Network), mediante el emulador Mininet-WiFi. El objetivo principal es explorar y analizar esta topología, ampliamente utilizada en centros de datos moderno...  Ver más
This Final Degree Project involves modeling a multidimensional Spine-Leaf switch topology in a Software Defined Network (SDN) environment, using the Mininet-WiFi emulator. The main objective is to explore and analyze this topology, widely used in modern data centers, utilizing the Python programming language. The project develops automated configuration, implementation, and performance testing. As the environment is SDN-based, a controller is required. Initially, "ONOS" was used, but due to technical issues, it was migrated to "OpenDaylight". The work was carried out in a Linux environment, initially using a virtual machine, and later migrating to a partition to optimize computational resources. To analyze the topology's performance parameters, various testing scripts were developed that automate performance tests and allow customization of both the topology and the specific test. For this purpose, several auxiliary scripts were created to interact with different environments, such as the Mininet-WiFi emulator, the OpenFlow protocol, data input through console arguments, and data output in the form of graphs. These auxiliary scripts are utilized by the main testing scripts. During tests on various Spine-Leaf configurations, it was deduced that the controllers used the Spanning Tree Protocol (STP) algorithm for topologies with loops, which blocks redundant links. To leverage the Spine-Leaf topology, the Equal-Cost Multi-Path (ECMP) algorithm was implemented, allowing the use of redundant links, thereby improving bandwidth and latency. The ECMP implementation was achieved through an auxiliary script that automated the definition of necessary flows using OpenFlow protocol commands, enabling the emulation of the Spine-Leaf topology without a controller, as the script acted as one. Upon implementing ECMP, the focus shifted to bandwidth tests with different types of flows, revealing that single-flow tests showed no improvements, but multiple and distributed flows increased bandwidth. However, this also demonstrated some instability in the results, as the ECMP algorithm assigned flows to links randomly. Experimenting with ECMP revealed the utilization of each layer in the topology: the number of switches in the Spine layer defined the maximum bandwidth, while the switches in the Leaf layer allowed access to a greater number of devices in the network. This work demonstrates the improvements introduced by the ECMP algorithm, using the STP algorithm (employed by controllers) as a reference. It also showcases the utility of the SDN environment, as it allows the implementation of algorithms that are not present in conventional switches due to their closed-system nature.
Palabras clave/Materias:
SDN
OpenFlow
Mininet
Mininet-WiFi
Spine-Leaf
ECMP
Python
automatización
latencia
ancho de banda
flujos de datos
controlador SDN
OpenDaylight
automation
latency
bandwidth
data flows
SDN controller
Área de conocimiento :
CDU: Ciencias aplicadas: Ingeniería. Tecnología
Tipo de documento :
info:eu-repo/semantics/bachelorThesis
Derechos de acceso:
info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Aparece en las colecciones:
TFG- Ingeniería de Tecnologías de Telecomunicación



Creative Commons La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.