Cloud calculation system capacity evaluation method and device, equipment and storage medium

Abstract

The invention provides a cloud calculation system capacity evaluation method and device, equipment and a storage medium. The method comprises the steps: obtaining historical operation data of a server in a cloud calculation system, specifically including a CPU usage rate peak value and a data volume peak value of the server in a historical time period; the method comprises the following steps: reading a utilization rate interval set according to a server category to which an analyzable server (namely a server which successfully acquires historical operation data) and a data volume interval set according to a total storage space; performing resource information evaluation by utilizing historical operation data, a utilization rate interval and a data volume interval of the analyzable server to obtain an evaluation result of the server; counting the proportion of the servers with normal capacity according to the evaluation result to obtain a normal rate, and determining the capacity evaluation result of the cloud calculation system according to the normal rate. According to the scheme, different categories are divided based on different purposes of the servers, different capacity evaluation standards are set for the servers of different categories and storage spaces, and the accuracy of the capacity evaluation result is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method, device, device and storage medium for evaluating the capacity of a cloud computing system. Background technique [0002] Cloud computing system is a large-scale computing system composed of multiple servers, which can be used to perform large-scale data analysis and processing tasks. During the actual operation of the cloud computing system, the amount of data it actually needs to process may fluctuate. For example, the amount of data may be large in certain months, and the amount of data in subsequent months may decrease significantly. [0003] In order to cope with the fluctuation of data volume, it is necessary to regularly evaluate the capacity of the cloud computing system to check whether the total resources of the cloud computing system (generally including processor resources and storage resources) meet the recent processing needs, so as to adjust the ...

AI Technical Summary

Problems solved by technology

[0005] Each server in a cloud computing system often has different purposes, so the usage of resources by each server is also different, so the existing method of evaluating all servers in a cloud computing system according to a unified standard is less accurate

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