Poster Abstract: Text2Net: Transforming Plain Text into Dynamic, Interactive Network Simulations

Alireza Marefat, Abbaas Alif Mohamed Nishar, Ashwin Ashok

Abstract: This paper introduces Text2Net, an innovative system designed to transform plain English descriptions into dynamic, interactive network simulations within the Emulator Virtual Engine–Next Generation (Eve-NG) environment. By integrating SOTA technologies from Natural Language Processing (NLP), Large Language Models (LLMs), and proposed adaptor software, Text2Net bridges the technical knowledge gap, enabling both technical and non-technical users to effortlessly create and interact with complex network topologies within a simulation environment. The system architecture combines an intuitive chat interface, GPT4 LLM to interpret user inputs, NLP key-value extraction, a simulation adaptor, and the EVE-NG engine. TextNet democratizes network emulation, empowering educators to efficiently construct simulations for interactive learning. It also benefits industrial prototyping and testing configurations.CCS CONCEPTS•Applied computing → Interactive learning environments; Computer-assisted instruction; IT architectures;•Networks → Network design principles; Programming interfaces; Topology analysis and generation; Logical / virtual topologies; Network manageability; Programmable networks; Network management; Network monitoring.

External IDs:dblp:conf/ipsn/MarefatNA24