Multi-source Heterogeneous Data Processing Technology for Digital Twin Network

Abstract

Digital Twin Network (DTN) is a fusion technology of digital twin and information communication, and the processing of multi-source heterogeneous physical network data is the key to building a DTN system. This paper firstly proposes the classification of physical network data and the collection requirements for different types of data; secondly, the physical network data processing process is divided into three steps: ©Data collection and transmission, propose “3 criteria” for selecting data collection protocol, and data transmission method to meet the “3 consistent” requirements of twin traffic and physical traffic; ©Data storage and cleaning, clarify the basis for selecting databases for different physical network data, and propose a data cleaning process; ©Data open service, propose, a set of complete data open service architecture is proposed. Finally, this paper is summarized and the future research directions are prospected.