Edge Fusion of Intelligent Industrial Park Based on MatrixOne and Pravega

Abstract

As the real-time requirements for big data processing in intelligent industrial parks continue to improve and the demands become increasingly diverse, building a data transmission, computing and storage pipeline with good scalability, high real-time performance, and easy-to-use interface has become an important direction for building a big data ecosystem in the park. This paper proposes an edge fusion solution for intelligent industrial parks based on MatrixOne and Pravega, which realizes deep integration of transmission, computing, and storage for multimedia data at the edge, with high reliability, low latency, and easy scalability. Specifically, this paper first points out the disadvantages of traditional cloud-side collaboration deployment solutions in terms of transmission and storage. Then, aiming at the real-time requirement of streaming multimedia data, an edge fusion solution is proposed, focusing on the streaming processing and distributed storage at the edge. Finally, the feasibility of the scheme is verified through experimental deployment.