Utilizing Cisco Packet Tracer for VLAN-Based Network Systems with an Integrated Chatbot and Analyzing Their Impact on Network Performance

Abstract

In this study, chatbots powered by GPT technology are synchronised with the thoughtful integration of virtual local area networks (VLANs), as well as the design and implementation of contemporary network infrastructure. The traffic dynamics within the network were visually and analytically examined using Cisco Packet Tracer, a simulation platform utilised in the study. Specifically, the division of VLANs can function as a key performance indicator for assessing and enhancing network efficiency. The impact of employing chatbots—more specifically, GPT-based chatbots—in the configuration and administration of VLANs is another area in which this paper broadens the investigation's scope. This research is notable because it can be applied to countries that are facing constraints, like those that have limited access to advanced laboratory resources in computing institutions. This suggests that creative solutions can be found in educational settings with limited resources.