Data center data management method and system based on artificial intelligence

Abstract

Embodiments of the present invention provide an artificial intelligence-based data center data management method and device, the method comprising: acquiring historical scheduling data in historical records, and acquiring data attributes and scheduling records of corresponding historical data according to the historical scheduling data; Exclude the data containing the data purpose label in the historical data, and construct the corresponding data attribute weight model according to the data source, data type, and data size of the remaining historical data; input the data attribute weight model and the corresponding scheduling record as training samples to the convolutional neural network Training in the network model; obtain the data attributes of the target data, and input the data attributes of the target data into the trained convolutional neural network model, output the scheduling records corresponding to the target data, and perform data management on the target data according to the scheduling records of the target data . In this way, the data management of the target data can be completed according to the deep learning of artificial intelligence, which saves management resources and improves management efficiency.

Description

Technical field [0001] The present invention relates to the field of artificial intelligence, and in particular, to a data center data management method and system based on artificial intelligence. Background technique [0002] At present, with the rapid development of Internet technology, data intersection of data network platforms is increasing, and thereby causing data centers for processing data to be processed and larger, the data center staff, and data center The data processing device is also getting higher and higher. [0003] In the prior art, because the data management of the data center is more complex, there is more and more data volume, but need to process each data, the data center either cooperates with multiple data centers, either by increasing processing time Complete data processing, but the above-mentioned processing means cannot guarantee the processing efficiency of data while saving resource. Inventive content [0004] For the problems present in the prio...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, because the data management of the data center is becoming more and more complex and the amount of data is increasing, each data needs to be processed sequentially. The data center either cooperates with multiple data centers or increases the processing time. Complete data processing, but the above-mentioned processing methods cannot guarantee the efficiency of data processing while saving processing resources

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