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Self-learning frequency conversion monitoring method and system, electronic equipment and storage medium

A self-learning and monitoring frequency technology, applied in hardware monitoring, electrical digital data processing, response error generation, etc., can solve the problems of resource waste monitoring cost, fixed monitoring frequency, etc., to save disk space, avoid loss, and avoid resources the wasteful effect of

Active Publication Date: 2022-03-04
深圳软通动力信息技术有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the existing technology, the embodiment of the present invention provides a self-learning frequency conversion monitoring method, system, electronic equipment and storage medium to at least solve the problem of resource waste and high monitoring cost caused by the fixed monitoring frequency in the prior art. question

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  • Self-learning frequency conversion monitoring method and system, electronic equipment and storage medium
  • Self-learning frequency conversion monitoring method and system, electronic equipment and storage medium

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Embodiment Construction

[0041] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described and illustrated below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. Based on the embodiments provided by the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention. In addition, it is also understood that although such development efforts may be complex and lengthy, for those of ordinary skill in the art relevant to the content of the present disclosure, the technology disclosed in the present invention Some design, manufacturing or production changes based on the content are just conventional technical means, and should not be understood as insufficien...

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Abstract

The invention relates to a self-learning frequency conversion monitoring method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining a monitoring frequency, collecting a plurality of operation indexes according to the monitoring frequency, and obtaining monitoring data; analyzing the monitoring data to obtain a prediction result, wherein the prediction result is used for indicating whether an abnormal event is about to occur; judging whether an abnormal event is received within the preset time range or not; and if the prediction result indicates that the abnormal event is not about to occur and the abnormal event is not received within the preset time range, reducing the monitoring frequency. According to the method, the monitoring data and the events generated at the corresponding time are collected for joint learning, and finally, the monitoring frequency is gradually reduced when a computer system runs stably and is not abnormal, so that the waste of resources is avoided, and finally, the purposes of saving disk space, computing power and electric energy are achieved.

Description

technical field [0001] The invention relates to the technical field of computer monitoring, in particular to a self-learning frequency conversion monitoring method, system, electronic equipment and storage medium. Background technique [0002] In the current computer field, especially in the era of cloud computing microservices, in order to ensure the normal operation of the program, real-time monitoring and data collection of the program and the running data of the program are carried out through the monitoring system, so that the computing host can be discovered in time, or even in advance. Fault. [0003] In order to realize the troubleshooting of computing hosts, the monitoring system needs to collect dozens of monitoring indicators, ranging from hundreds to thousands of items, such as CPU usage, memory usage, storage usage, IO usage, network speed, The CPU and memory occupied by the program running, the respective monitoring indicators exposed by the program (the numbe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/30G06F11/07
CPCG06F11/3058G06F11/3089G06F11/0793Y02D10/00
Inventor 王玉虎马骏
Owner 深圳软通动力信息技术有限公司
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