Server resource prediction method and device, computer equipment and storage medium

Abstract

The invention discloses a server resource prediction method and device, computer equipment and a storage medium. The method comprises the following steps: taking a user selected in a user list as a target user, and acquiring historical performance parameters correspondingly consumed by the target user by using a cloud server in a preset historical time period according to a preset acquisition period, so as to obtain a historical performance parameter set corresponding to the target user; performing model training on the to-be-trained back propagation neural network according to the historicalperformance parameter set to obtain a back propagation neural network for predicting performance parameter values; correspondingly obtaining a current input sequence according to the historical performance parameter set and the received to-be-predicted time point; and inputting the current input sequence into the back propagation neural network to obtain a predicted value corresponding to the to-be-predicted time point. According to the method, a server resource prediction model is established by using historical data, and the future usage amount of cloud server resources is predicted.

Description

technical field [0001] The invention relates to the technical field of intelligent decision-making, in particular to a server resource prediction method, device, computer equipment and storage medium. Background technique [0002] At present, an enterprise has built a cloud server, and the cloud server can dynamically allocate a certain amount of storage and CPU to a certain team of the enterprise according to the actual use needs of users (such as internal R&D and testing use of the team, etc.). The storage and CPU (i.e. database and application host) of the cloud server are charged according to the actual usage of storage and CPU. The work experience of the project leader of the team alone cannot accurately judge the future capacity demand, and the large amount of resources cannot keep up with All project leaders check one by one, which not only affects the progress of the project, but also is not conducive to planning the procurement of cloud servers. Contents of the in...

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present invention provide a server resource prediction method, device, computer equipment, and storage medium, aiming to solve the problem of current actual usage and historical actual usage of storage and CPU of known cloud servers in the prior art. Unable to accurately judge future capacity requirements based on experience

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