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Title:
BIG DATA SYSTEM RESOURCE CONFIGURATION PARAMETER TUNING METHOD BASED ON GENERATIVE ADVERSARIAL NETWORK
Document Type and Number:
WIPO Patent Application WO/2023/097661
Kind Code:
A1
Abstract:
The present disclosure relates to a big data system resource configuration parameter tuning method based on a generative adversarial network. The method comprises the following steps: S100, constructing an evaluated configuration parameter set, and recording optimal configuration parameter values in the evaluated configuration parameter set; S200, constructing a Gaussian process by using the evaluated configuration parameter set, and calculating a mean value and a variance; S300, constructing a candidate configuration parameter set, wherein the set at least comprises N1 groups of configuration parameter values, which are generated by a generative adversarial network simulating the current optimal configuration parameter values; and S400, substituting the variance and the mean value into an acquisition function, finding, from the candidate configuration parameter set and by using the acquisition function, a group of configuration parameter values which possibly have the optimal performance, and taking same as the current optimal configuration parameter values, wherein N1 is a set value. In the present disclosure, a generative adversarial network simulates obtained optical configuration parameter values to generate new configuration parameter values, such that resource configuration parameter values having the optimal system performance can be found more quickly.

Inventors:
HUANG SHIXIN (CN)
GUO YIJIN (CN)
LI YUZE (CN)
CHEN CHAO (CN)
YU ZHIBIN (CN)
YANG YONGKUI (CN)
WANG ZHENG (CN)
SHAN YALONG (CN)
Application Number:
PCT/CN2021/135361
Publication Date:
June 08, 2023
Filing Date:
December 03, 2021
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Assignee:
SHENZHEN INST OF ADV TECH CAS (CN)
International Classes:
G06F30/27; G06F17/18
Foreign References:
CN112836394A2021-05-25
CN113436443A2021-09-24
CN101464922A2009-06-24
CN111176832A2020-05-19
Attorney, Agent or Firm:
BEIJING CHENGHUI LAW FIRM (CN)
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