Abstract
Network Digital Twin (NDT) has emerged as a groundbreaking paradigm, revolutionizing the modeling of modern and complex networks. NDTs are emulation of real-world networks that can be used for a variety of purposes, such as network experimentation, optimization and security. NDTs achieve reproducibility by consistently producing results under identical conditions and repeatability by facilitating controlled variation experiments.The NDT proposed in this work is designed to be a versatile and adaptable platform, capable of supporting a wide range of network experimentation and optimization tasks, going beyond the limitations of existing solutions.This paper introduces our proposal for developing a NDT framework, providing insight into our ongoing work and the exploration, analysis, and conclusions we have reached in this context. In essence, this paper outlines our vision for a NDT in contrast to the NDT proposed in the literature.
Amit Karamchandani
Predoctoral Researcher
Amit Karamchandani Batra, a predoctoral researcher and Ph.D. student at the Universidad Politécnica de Madrid, has contributed to EU-funded 5G cybersecurity projects, co-authored research papers, and received multiple academic awards, including for his B.Sc. and M.Sc. degrees.