Desarrollo e Implementación de un algoritmo de control de video adaptativo en entornos de redes definidas por software (SDN)

Abstract

In the ever-evolving digital era, managing traditional IP networks has become a complex and laborious process. Configuring these networks according to rigid structures and adapting to fluctuations in traffic load and potential failures requires constant reconfiguration of the underlying infrastructure. This complexity is exacerbated by the convergence of control and data planes in conventional networks, making agile and programmable management difficult. In response to these challenges, Software-Defined Networks (SDN) have emerged as a highly promising solution in the field of telecommunications. In this context, this thesis proposes the design of an efficient video traffic control algorithm in an SDN environment, enabling adaptive realtime transmission. To achieve this, five Raspberry Pi were used, each installed with the Linux (Ubuntu) operating system. On these devices, software was implemented for one Raspberry Pi to function as an SDN controller (RYU) and the necessary software for the other Raspberry Pis to operate as OpenVswitch. The video transmission was carried out from one device to another through our SDN network with the adaptive video control system, from the video server to another device, achieving a delay 18.1 % lower than RIP and 94.8 % lower than OSPF. With background traffic, it was found that SDN has a delay 27.23 % lower than RIP and 54.1 % lower than OSPF. Finally, the performance obtained with and without the implementation of our algorithm was evaluated in comparison with classical routing.