Method and device for predicting data storage capacity

Abstract

The invention provides a prediction method for data memory space as one aspect on the invention. The prediction method includes the steps that data records of original historical data in a first preset time period are normalized to acquire target historical data in the first preset time period; all the target historical data in the first preset time period is divided into multiple sub data sets according to the original historical data corresponding to the target historical data; the probabilities that all target data records in the all sub data sets exist in the target historical data are calculated; the data records of the target historical data in the sub data sets and the existence probabilities of the data records are substituted into an SVM model, predicted data records of data of various types in a future second preset time period and the existence probabilities of the predicted data records are obtained through calculation, and the data memory space of all the sub data sets in the second preset time period is calculated. The invention further provides a prediction device. The data memory space of an information system can be accurately predicted through the prediction method.

Description

technical field [0001] The present invention relates to the field of prediction of data storage capacity, and in particular, to a prediction method and a prediction device of data storage capacity. Background technique [0002] With the advent of the era of big data, data centralization has become a necessary trend, and the resulting data storage problems have become more and more obvious. [0003] At present, the methods used to predict the data storage capacity of the information system include the maximum value estimation method, the average value estimation method, the data expectation value estimation method, and the like. However, using the maximum value estimation method may cause relatively large waste, and using the average value estimation method may cause inaccurate estimation, and there is a certain error rate in using the storage capacity calculation model. [0004] Moreover, in the above prediction methods, no distinction is made for different types of data, s...

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Problems solved by technology

Therefore, the above-mentioned purpose cannot be achieved by using the above-mentioned several forecasting methods

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