Safety control method for realizing large model computing power center data gridding

By segmenting and gridding the data in the computing center, and combining the circuit breaker mechanism and coordinate reconstruction, the problems of data storage management and security control in large data centers are solved, achieving efficient and secure data management and access control.

CN121967022APending Publication Date: 2026-05-01江苏量界数据科技有限公司
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Patent Information

Application Number
CN202610144852.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-02
Publication Date
2026-05-01

AI Technical Summary

Technical Problem

Existing technologies in large data centers suffer from low data storage management efficiency and poor security, making it difficult to meet the growing demand for data volume. Furthermore, they are difficult to effectively monitor and control cross-regional access, which can easily lead to unauthorized access and data leakage.

Method used

By dividing the data in the computing center into blocks, generating the optimal total number of blocks, constructing quantized grid coordinates for grid storage, and monitoring the frequency of cross-regional access in real time, triggering a circuit breaker mechanism to block unauthorized access, dynamically adjusting the total number of blocks and reconstructing the data block coordinates, the system achieves refined data management and security control.

Benefits of technology

It improves the security and reliability of data storage, reduces the risk of unauthorized access, optimizes storage space utilization, enhances data security control capabilities, and achieves efficient management and anti-attack capabilities for large-scale model computing environments.

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Abstract

The invention discloses a security control method for realizing large model computing power center data gridding, and relates to the technical field of data security, and the method comprises the steps: firstly determining computing power center data, obtaining a sensitivity index, an access frequency and a data size of the computing power center data, generating an optimal total number of blocks, and carrying out the blocking processing of the data, thereby obtaining a data block sequence; analyzing pre-stored physical location hash values and logic partitions of the data blocks, constructing quantized grid coordinates and carrying out gridding storage; meanwhile, the cross-region access frequency is monitored in real time, and a fusing mechanism is triggered to interrupt access if the cross-region access frequency exceeds the limit; and after fusing, adding offset to the quantized grid coordinates of the related data block sequence, regenerating and storing, and clearing the data block at the original storage position to ensure the safe storage and access control of the large model computing power center data.
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