Model training method and device, state prediction method and device, equipment and storage medium

A training method and sub-model technology, applied in the computer field, can solve problems such as the impact on the stable operation of large and complex systems, hard disk damage, etc., and achieve the effect of reducing the process of manual labeling, optimizing performance, and ensuring model performance

Active Publication Date: 2021-06-11
CHINA MOBILE SUZHOU SOFTWARE TECH CO LTD +1
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Problems solved by technology

Due to the large number of nodes in the distributed cluster, although the probability of failure of each node is low, the probability of failure of the entire cluster is

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  • Model training method and device, state prediction method and device, equipment and storage medium
  • Model training method and device, state prediction method and device, equipment and storage medium
  • Model training method and device, state prediction method and device, equipment and storage medium

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[0066] In order to make the objects, technical solutions, and advantages of the present application, the specific technical solutions of the application will be described in detail below in connection with the drawings in the present application embodiment. The following examples are intended to illustrate the present application, but not to limit the scope of the present application.

[0067] All techniques and scientific terms used herein are commonly understood by those skilled in the art, unless otherwise defined. The terms used herein in the specification of the present application are merely intended to describe the embodiments of the specific embodiments, are not intended to limit the present application. The terms "and / or" as used herein include any and all combinations of one or more associated items.

[0068] The techniques of the present application are first introduced before the present application provides a detailed description of the present application.

[0069]...

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Abstract

The embodiment of the invention discloses a system exception prediction model training method, a system state prediction method and device, equipment and a storage medium. The method comprises the steps of acquiring sample features; initializing the system anomaly prediction model according to set weight parameters; processing the sample features through the system anomaly prediction model to obtain prediction energy; constructing a target function based on the predicted energy; and in back propagation, updating weight parameters of the system anomaly prediction model through the objective function. Therefore, the abnormal condition of the system operation state can be predicted.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a system abnormality prediction model training method, system state prediction method, device, equipment and computer storage medium. Background technique [0002] With the development of big data technology, the scale of today's distributed computing clusters is becoming larger and larger, and the complexity of distributed systems is also increasing. Due to the large number of nodes in the distributed cluster, although the probability of failure of each node is low, the probability of failure of the entire cluster is not low. For example, a large cluster may have hard disk damage every day. The stable operation of the system has a great impact, and may even cause serious consequences. Therefore, for large-scale systems, in order to effectively reduce the losses caused by failures, it is necessary to be able to detect and solve problems as soon as possible. There...

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Application Information

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IPC IPC(8): G06F11/07G06K9/62G06N3/04G06N3/08
CPCG06F11/0709G06F11/0775G06F11/079G06N3/084G06N3/088G06N3/045G06F18/2321
Inventor 叶尧罡
Owner CHINA MOBILE SUZHOU SOFTWARE TECH CO LTD
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