Title:
DYNAMIC PREDICTION METHOD AND APPARATUS FOR CLOUD NATIVE RESOURCES, COMPUTER DEVICE AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/110444
Kind Code:
A1
Abstract:
A dynamic prediction method for cloud native resources, comprising: on the basis of a Pearson correlation coefficient, performing correlation sorting on obtained resource data to be predicted and performance index data to obtain a correlation relation between the resource data to be predicted and the performance index data (S3); defining a correlation threshold on the basis of the correlation relation (S4); using the performance index data greater than or equal to the correlation threshold as performance index time series data (S5); horizontally expanding the performance index time series data to obtain training data and test data (S6); inputting the training data into a constructed sequential neural network model to carry out training (S7), to obtain a trained sequential neural network prediction model; and inputting the test data into the sequential neural network prediction model to carry out prediction operation, to obtain resource prediction results (S8). Further provided are a dynamic prediction apparatus for cloud native resources, a computer device and a storage medium, capable of reducing prediction complexity and improving prediction accuracy.
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Inventors:
YE KEJIANG (CN)
CHEN WENYAN (CN)
XU CHENGZHONG (CN)
CHEN WENYAN (CN)
XU CHENGZHONG (CN)
Application Number:
PCT/CN2020/139679
Publication Date:
June 02, 2022
Filing Date:
December 25, 2020
Export Citation:
Assignee:
SHENZHEN INST OF ADV TECH CAS (CN)
International Classes:
H04L29/08; H04L12/24
Foreign References:
| CN110059858A | 2019-07-26 | |||
| CN110751326A | 2020-02-04 | |||
| CN106205126A | 2016-12-07 | |||
| US20180151177A1 | 2018-05-31 |
Attorney, Agent or Firm:
BEIJING ZHONG XUN TONG DA INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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