Server memory capacity prediction method and device

A technology of memory capacity and prediction method, applied in the field of server memory, can solve the problem of complex maintenance cost of ARIMA model, achieve the effect of low data stability requirements, ensure prediction accuracy, and simple maintenance cost

Pending Publication Date: 2020-12-22
BANK OF CHINA
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Problems solved by technology

[0004] However, the ARIMA model requires the stability of time series data and can only process stabl

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  • Server memory capacity prediction method and device
  • Server memory capacity prediction method and device
  • Server memory capacity prediction method and device

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[0020]In order to make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the following further describes the embodiments of the present invention in detail with reference to the accompanying drawings. Here, the exemplary embodiments of the present invention and the description thereof are used to explain the present invention, but are not intended to limit the present invention.

[0021]First, introduce the terms involved in the embodiments of this application:

[0022]LSTM: Long Short Term Memory Network, the full name is Long Short Term Memory. It is a time cyclic neural network, which is specially designed to solve the long-term dependence problem of general RNN (circular neural network). It is an improved version of RNN neural network. The difference between it and RNN is that it introduces the concept of cell state. Unlike RNN which only considers the most recent state, the cell state of LSTM determines which states are left and w...

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Abstract

The invention discloses a server memory capacity prediction method and device. The method comprises the steps of obtaining memory usage amount data and corresponding time point data; and inputting thememory usage amount data and the corresponding time point data into a trained LSTM neural network model, predicting the memory capacity of the server, and training the LSTM neural network model according to the historical memory usage amount data and the corresponding historical time point data. The memory capacity of the server can be predicted, the data application range is expanded, and the maintenance cost is reduced.

Description

technical field [0001] The invention relates to the technical field of server memory, in particular to a server memory capacity prediction method and device. Background technique [0002] In recent years, with the recovery of my country's economy and the continuous development of Internet technology, many businesses of banks have been transferred from offline to online, which improves work efficiency and facilitates business processing. However, at the same time, many office systems of the bank also generate a large amount of data every day, which requires a certain level of memory to store, so the bank will purchase the memory required for the next month at the end of each month. But if you buy too much, it will be wasteful, and if you buy too little, it will not be enough. [0003] In the prior art, a differential autoregressive moving average model (ARIMA) method is used to predict server memory capacity. The main process of the program is to identify its stationarity a...

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Application Information

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IPC IPC(8): G06F9/50G06N3/04G06N3/08
CPCG06F9/5016G06N3/084G06N3/044G06N3/045
Inventor 邵玉杰
Owner BANK OF CHINA
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