Physical machine resource allocation model obtaining method and device and computer equipment

Abstract

The invention discloses a physical machine resource allocation model obtaining method and device and computer equipment, and the method comprises the steps: inputting data in a training data set intoa preset BILSTM neural network for training, and obtaining an output value Hi = (hi + hi ') of a hidden layer; summing and averaging the training data to obtain an average training value, and inputting the average training value into a BILSTM neural network for training to obtain an output value X of the corresponding hidden layer; calculating the product of the hidden layer output Hi of each historical node and the probability weight according to the probability distribution of the output value X on each historical node, and performing adding to obtain a value C; solving a hidden layer outputvalue hk' corresponding to the output value X through a linear function Hk '= H (C, hk, Xk); and writing a physical machine resource allocation basic model based on the BILSTM neural network according to the hidden layer output value hk ', and training the basic model to obtain a physical machine resource allocation model. The prediction precision is improved.

Description

technical field [0001] The present application relates to the field of intelligent decision-making, in particular to a method, device and computer equipment for acquiring a physical machine resource allocation model. Background technique [0002] The traditional allocation of physical machine resources is mainly based on experience. It often happens that the physical machine resources in each area cannot meet the needs of the business. Sometimes the physical machine resources are fully prepared but there is no market. Sometimes the physical machine resources are not fully prepared. market demand, resulting in underutilization of resources. [0003] Therefore, there is an urgent need for a method that can accurately predict the resource allocation of physical machines. Contents of the invention [0004] The main purpose of this application is to provide a method, device and computer equipment for obtaining a physical machine resource allocation model, aiming to solve the t...

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Problems solved by technology

[0004] The main purpose of this application is to provide a physical machine resource allocation model acquisition method, device and computer equipment, aiming to solve the technical problem that the prior art cannot accurately predict the physical machine resource allocation

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