Modelo de predicción de ajuste automático de ancho de banda mediante métodos de Inteligencia Artificial

Abstract

Abstract: The exponential increase in Internet traffic is mainly due to the proliferation of services such as audio and video streaming, the emergence of applications that require a lot of bandwidth to work optimally and generally to the process of digitalization of services, in this context the management of bandwidth plays a fundamental role, which translates into a better experience for users. Traffic congestion causes the exchange of information to become deficient especially in wireless network environments, that is why techniques such as automatic bandwidth adjustment have been investigated, which manages the bandwidth according to traffic demand, therefore a study is made about automatic bandwidth adjustment, the way in which Artificial Intelligence is integrated with computer networks, the tools necessary to work in wireless environments incorporating Artificial Intelligence and finally a comparison will be made of several machine learning methods through the application of several general experiments and specific experiments.