Method and device for predicting memory capacity required by business and server

Abstract

The invention discloses a method and device for predicting the memory capacity required by business, a server and a computer storage medium. The method includes the following steps that a sample case corresponding to the business is obtained, and the obtained sample case is loaded into a memory; parameter information corresponding to the sample set is obtained; according to the obtained sample case and parameter information, the memory capacity required by the business is calculated. According to the scheme of the embodiment of the invention, the memory capacity required by the business can be accurately calculated, so that users can apply for the memory capacity according to the needs. The problem that the existing prior art can not predict the memory capacity required by the business in advance, so the users often apply for the maximum memory and resource waste is caused is solved, and the resources of the server are saved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a method, device, server and computer storage medium for estimating memory capacity required by business. Background technique [0002] Database (Database) is a data processing system that organizes, stores and manages data according to the data structure. With the development of the Internet, the application of database is more extensive, and its performance requirements are getting higher and higher. At present, the database system must have high transaction processing speed and application reliability. [0003] For memory-based databases such as Redis, users need to apply for the corresponding memory capacity according to business needs. In general, users do not consider how much memory capacity the business actually needs. They think that the larger the memory capacity, the better, so they always apply for the largest memory capacity, and many users may not need su...

AI Technical Summary

Problems solved by technology

[0003] For memory-based databases such as Redis, users need to apply for the corresponding memory capacity according to business needs. In general, users do not consider how much memory capacity the business actually needs. They think that the larger the memory capacity, the better, so they always apply for the largest memory capacity, and many users may not need such a large memory capacity, resulting in a waste of resources; memory capacity

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