Designing Data Pipeline for Network Data Management in Digital Twin Network Environment

With the advancement of Internet of Things (IoT) and 5G technology, new network services such as Virtual Reality/Augmented Reality (VR/AR) are emerging, leading to the expansion of network scale and increasing network traffic. As a solution to the increasing complexity of network operation and maintenance, Digital Twin Network (DTN) technology has been introduced. In order to provide visibility into various aspects for network management, observation and analysis of network data are necessary. Therefore, this paper presents the types of data available in the digital twin network and the lifecycle process of data pipelines. This work will help to effectively manage data internally when implementing the Digital Twin Network in the future.