Method suitable for balancing cloud platform computing resources

Abstract

The invention relates to the technical field of cloud computing, in particular to a method suitable for balancing could platform computing resources. The method comprises the steps that firstly, according to the applications operating at present, the average needed computing resources of each application are obtained through statistics; secondly, a preset resource ratio and a predication period are set; thirdly, the average number of the applications added every day is collected, and the average needed computing resources for updating each application are collected; fourthly, the number of currently balanced computing resources is computed; fifthly, the current cloud platform computing resources are counted; sixthly, the computing resource balancing index is obtained by subtracting the number of the current computing resources from the number of the balanced computing resources; seventhly, if the computing resource balancing index is larger than zero, it means that the number of the current computing resources can meet the demand for the application adding in the predication period, and if the computing resource balancing index is smaller than zero, it means that the number of the current computing resources cannot meet the demand for application adding in the predication period, and the computing resources need to be increased in advance. By the adoption of the method suitable for balancing the cloud platform computing resources, reasonable use and advanced judgment of the cloud platform computing resources are achieved, and the method can be used for management of the cloud platform computing resources.

Description

technical field [0001] The invention relates to the technical field of cloud computing, in particular to a method suitable for balancing computing resources of a cloud platform. Background technique [0002] In the cloud computing environment, the construction of data centers mostly adopts the strategy of separate procurement, that is, servers, storage, network equipment, platforms, and application software are independently purchased according to existing business needs, and then integrated. This reduces the initial acquisition cost of the data center to a certain extent and satisfies the operation of current business applications. However, as the business continues to expand, operation and maintenance personnel usually judge and increase various basic resources of the cloud platform based on their own experience. In this case, the resource management of the cloud platform has the following disadvantages: [0003] 1. It cannot meet the needs of later application growth. Wh...

AI Technical Summary

Problems solved by technology

[0003] 1. It cannot meet the needs of later application growth. When it is found that the cloud platform resources are insufficient, computing resources are purchased, which will delay the application launch time

[0004] 2. Adding computing resources depends on manual judgment. General operation and maintenance personnel need to manually judge whether the current computing resources meet the needs of application growth. They need to have certain experience and there are uncertainties.

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