Integrating RASA Chatbot with an Intent Layer for SDN-Based Network Slice Provisioning

The increasing complexity of modern networking infrastructures demands innovative solutions for efficient provisioning and management of network resources. In this paper, we present a RASA-based approach, an open-source conversational AI platform, to develop a chatbot interface for interacting with an intent layer to request Software-Defined Networking (SDN)-based network slices. Our proposed system aims to simplify the process of provisioning network slices by enabling users to express their intent in natural language, abstracting away the complexities of the underlying infrastructure. The chatbot interprets user requests, extracts intents and entities using natural language understanding techniques, and interfaces with the intent layer to orchestrate the deployment of the SDN-based network slices.