Cloud computing data automatic classifying and counting method and system

Abstract

The invention discloses a cloud computing data automatic classifying and counting method. The cloud computing data automatic classifying and counting method comprises the steps that a cloud storage device receives data and analyzes registration information of the data; the cloud storage device sends the data and the registration information of the data to a data counting center; the data counting center receives the data and the registration information and classifies the data according to the registration information; the classified data is sent back to the cloud storage device by the data counting center to be stored in a classified mode. According to the method, the data can be sent, analyzed and counted in real time, when a new data type occurs, a data category can be added automatically, and the situation that after a data counting result is obtained, a user adds the new data type and classification is conducted again is avoided; when the user needs to output data counting results, only the results of the registered data need to be output; the method is used for data classification and counting and is rapid and efficient, user experience is improved, the number of counting errors is reduced, and the data maintenance cost is reduced.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a method and system for automatic classification and statistics of cloud computing data. Background technique [0002] The current application direction of cloud computing storage is the direction of big data storage. Among them, the biggest use of data storage is to analyze big data and assist operational decision-making in the cloud computing environment. In the current era of data explosion, how to quickly and real-time extract the massive data on cloud computing is very important. Classification technology research is an important research field of data analysis and management in cloud computing environment. The current data analysis adopts the method of sorting and sorting, that is, the data is collected first, and then the data is sorted by manual division of data types. Although the above-mentioned data analysis method of sorting and sorting is widely used, there are sever...

AI Technical Summary

Problems solved by technology

[0003] 1. Organize after collection. Excessive accumulation of data will lead to long data calculation and analysis time and poor user experience;

[0004] 2. Manual classification of data types will lead to inaccurate data classification, which can only be roughly estimated within a fixed range

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