Study of the use of Artificial Intelligence in the configuration of CISCO routers (2024)

Abstract

When Artificial Intelligence (AI) is used in all scientific and technological aspects today, particularly in the configuration of CISCO routers, it represents a significant advancement in optimizing computer networks, offering more efficient, faster, and adaptive solutions. Currently, the traditional way of configuring routers requires a high level of technical expertise, as well as significant time, human, and financial resources, which can lead to potential human errors and vulnerabilities in the configuration. However, AI now helps automate a large portion of these tasks, minimizing errors and improving security. In this context, AI can be applied to optimize network performance by automatically adjusting key parameters such as bandwidth allocation, traffic prioritization, and detecting anomalies that might not have been identified through traditional methods. Furthermore, when machine learning is incorporated, networks can adapt to emerging traffic patterns, allowing potential failures to be predicted, thereby increasing the robustness and operational efficiency of communication networks. The implementation of AI in router configuration significantly reduces the operational burden on network administrators, allowing them to focus on more strategic tasks within the organization. This is particularly relevant for academic institutions and organizations like research centers, where large-scale networks require constant, adaptable management to improve both security and performance of the infrastructure.