Server performance prediction method and device and terminal equipment
A performance prediction and server technology, applied in the computer field, can solve problems such as low analysis and prediction accuracy, failure to extract server performance data, etc., and achieve the effect of improving prediction accuracy
Active Publication Date: 2021-07-30
HEBEI NORMAL UNIV
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However, due to the characteristics of linear and nonlinear fitting of server performance data, server performance prediction methods in the prior art cannot extract and analyze all linear and nonlinear features of server performance data, and the prediction accuracy is low
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[0026] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the invention may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
[0027] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.
[0028] The embodiment of the present invention provides a server performance prediction method, referring to figure 1 As shown, the method includes the following steps:
[0029] Step S101. Obtain the performance data sequence of the target server in the reference peri...
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The invention is suitable for the technical field of computers, and provides a server performance prediction method and device and terminal device.The method comprises the steps of obtaining a performance data sequence of a target server in a reference time period; inputting the performance data sequence of the reference time period into a pre-established ARIMA prediction model to obtain first performance data of the target server at a target prediction moment; calculating a historical residual sequence of the ARIMA prediction model, and inputting the historical residual sequence into a preset neural network model to obtain a correction value of the target server at the target prediction moment; and correcting the first performance data based on the correction value to obtain second performance data of the target server at the target prediction moment. According to the method, the prediction accuracy of server performance prediction can be improved.
Description
technical field [0001] The invention belongs to the technical field of computers, and in particular relates to a server performance prediction method, device and terminal equipment. Background technique [0002] Server performance is an important reference indicator for the normal operation of the server. When the performance data is too high, the server will become stuck and cannot work normally. [0003] Accurately predict the performance of the server, and provide early warning of server failures, so as to prepare corresponding solutions in advance to ensure the normal operation of the server. However, due to the characteristics of linear and nonlinear fitting of server performance data, server performance prediction methods in the prior art cannot extract and analyze all linear and nonlinear features of server performance data, and the prediction accuracy is low. Contents of the invention [0004] In view of this, embodiments of the present invention provide a server ...
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IPC IPC(8): G06F11/34G06N3/04G06N3/08
CPCG06F11/3409G06N3/08G06N3/045
Inventor 刘京王余田亮陈栋
Owner HEBEI NORMAL UNIV