T/CI 095-2023 Cloud-Edge Coordination Technology Standards for Public Basic Services Part 3: Data Coordination

Scope

Scope: This document specifies the terms and definitions of "Technical Standards for Cloud-Edge Collaboration in Public Basic Services Part 3: Data Collaboration", and proposes a complete technical solution to core issues such as data storage, data backup, and data classification in cross-domain cloud-edge collaboration for the public basic services industry. This document is applicable to data storage, data backup, and data classification in cross-domain cloud-edge collaboration for the public basic services industry. Main technical content: 1. Logical isolation network data transmission method requirements: Specific indicators include but are not limited to the following items: a) Computers should have multiple network cards connected to closed or non-closed networks, and only one network can be connected at a time; b) Data transmission should maintain data format consistency; c) When switching operating systems, the network should be disconnected and all tasks of the original operating system should be closed; d) Data generated in closed networks should only be stored in virtual disks; e) Monitoring software should be installed in the operating system to ensure that data cannot be copied without authorization. 2. AI-based cloud-edge collaborative file data classification service requirements: Specific indicators include but are not limited to the following items: a) Keyword analysis modules and summary analysis modules should be used simultaneously to extract information and have the file data classified by analysts; b) The classification efficiency should be calculated during the classification process. If the classification efficiency is less than the threshold value, it should be evaluated by experts and saved again; c) The storage module should be used to store classified file data, summaries, keywords, and final classification labels, and dynamically update the parameters of the keyword extraction model, summary generation model, and file data classificat

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