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Gradient boosting regression-based GC early warning method and system, and storage medium

A gradient and normalization technology, applied in instruments, character and pattern recognition, computer parts, etc., can solve problems such as low GC early warning accuracy

Pending Publication Date: 2022-04-22
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0008] The present invention provides a GC early warning method, system, electronic equipment and computer-readable storage medium based on gradient boosting regression, which are used to solve the problem of low accuracy of GC early warning in the prior art

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  • Gradient boosting regression-based GC early warning method and system, and storage medium
  • Gradient boosting regression-based GC early warning method and system, and storage medium
  • Gradient boosting regression-based GC early warning method and system, and storage medium

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Embodiment Construction

[0049] It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0050] The embodiments of the present invention can acquire and process related data based on artificial intelligence technology. Among them, artificial intelligence (AI) is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. .

[0051] Artificial intelligence basic technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technology, operation / interaction systems, and mechatronics. Artificial intelligence software technology mainly includes computer vision technology, robotics technology, biometrics technol...

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Abstract

The invention relates to artificial intelligence, and provides a gradient boosting regression-based GC early warning method, which comprises the following steps of: processing a sample, judging whether majorpause occurs or not by using a gradient boosting regression-based GC prediction model, performing attribution analysis on GC index data which is judged to generate majorpause by using an attribution analysis model based on an unsupervised clustering algorithm, and determining whether majorpause occurs or not. And outputting an attribution analysis result, and performing early warning. According to the GC early warning method based on gradient boosting regression, intelligent control over GC operation and maintenance is achieved, and the technical effects of being high in processing speed, high in accuracy, small in memory occupation and high in service availability are achieved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, and relates to a GC early warning method, system, electronic equipment and computer-readable storage medium based on gradient boosting regression. Background technique [0002] With the popularization and enhancement of functions of smart terminals such as smartphones, tablet computers, and smart home appliances, users have higher and higher requirements for the performance of smart terminals. Therefore, higher requirements are also placed on AI intelligent operation and maintenance. However, most of the current research on AI intelligent operation and maintenance is aimed at CPU and memory, and the more important GC (Garbage Collection, garbage collection) operation and maintenance link in intelligent operation and maintenance lacks effective control. [0003] The disadvantages of the current GC operation and maintenance scenarios are as follows: [0004] 1) In the process of ob...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/23G06F18/214
Inventor 谢静文王一凡阮晓雯陈远旭
Owner PING AN TECH (SHENZHEN) CO LTD