Adaptive Network Configuration using Intents in Dynamic Networks

Abstract

Adaptive network slicing has emerged as a key enabler for delivering customized and efficient services in modern, multi-tenant network environments. This thesis explores the integration of Intent-Based Networking (IBN) with Software-Defined Networking (SDN) and Network Function Virtualization (NFV) to support the automated and dynamic creation of network slices tailored to specific application requirements. By abstracting user needs into high-level intents, network operators can define service expectations—such as latency, bandwidth, and isolation—without engaging with low-level configurations. These intents are then interpreted, translated, and enforced across programmable infrastructures, enabling flexible resource allocation and real-time policy adaptation. A central focus is placed on Quality of Service (QoS) guarantees, monitoring, and orchestration across heterogeneous and evolving environments. Through an in-depth review of state-of-the-art approaches and architectural components, the thesis highlights both the opportunities and challenges in realizing scalable, intent-driven network management for next-generation systems.