关键词: 分布式存储, RDF模型, 云边协同, 协同存储, 协同检索

Abstract: Facing the scenarios of distributed storage and cross-domain transfer of data in various business domains in industrial scenarios, this paper proposes a cloud-edge collaborative data storage and retrieval architecture to address the problems of multiple and complex business systems, huge amounts of data, and the inability of some data to be uploaded to the cloud, aiming to achieve unified storage of large-scale data and efficient cross-domain circulation. This architecture designs data encoding rules based on the RDF (Resource Description Framework) graph model and a multi-level efficient data storage strategy based on S-tree (Signature-tree) to ensure that data that cannot be uploaded to the cloud is stored in the edge server, and data that can be uploaded to the cloud is stored in the cloud server. It also proposes a cloud-edge oriented approach. Collaborative storage index tree efficient collaborative retrieval method (cloud-edge collaboration index) effectively improves the efficiency of data retrieval through the concurrent retrieval method and cloud-edge collaborative indexing method. Through experimental comparison with the RDF-3x and GRIN, the architecture proposed in this article can achieve higher performance in terms of operating efficiency and CPU utilization.

Key words: distributed storage, RDF &#40, Resource Description Framework&#41, graph model, cloud-edge collaboration