Self-learning frequency conversion monitoring method, 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: 2022-05-24
深圳软通动力信息技术有限公司
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  • Claims
  • Application Information

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

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Embodiment Construction

[0041] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention. Based on the embodiments provided by the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention. Furthermore, it will be appreciated that while such development efforts may be complex and tedious, for those of ordinary skill in the art to which the present disclosure pertains, the technical Some changes in design, manufacture or production based on the content are only conventional technical means, and should not be construed as insufficient disclosure of the present invention.

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Abstract

The present invention relates to a self-learning frequency conversion monitoring method, system, electronic equipment and storage medium. The method includes: obtaining the monitoring frequency, collecting multiple operating indicators respectively according to the monitoring frequency, and obtaining monitoring data; Analyze the monitoring data to obtain a prediction result, the prediction result is used to indicate whether an abnormal event is about to occur; determine whether an abnormal event is received within the preset time range; if the prediction result indicates that an abnormal event will not occur soon, And if no abnormal event is received within the preset time range, the monitoring frequency is reduced. The method of the present invention learns together by collecting monitoring data and events generated at corresponding times, and finally gradually reduces the monitoring frequency when the computer system runs stably and has no abnormalities, thereby avoiding the waste of resources and finally saving disk space, computing power and electric energy the goal of.

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 device 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 data of the program operation 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 check the computing host, the monitoring system needs to collect monitoring indicators ranging from dozens to hundreds to thousands, 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 (the number of links, the number of threads, etc.) exposed by the p...

Claims

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Application Information

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Patent Type & Authority Patents(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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