Resource adjustment method, device and cloud platform

Abstract

The invention provides a resource adjustment method, device and a cloud platform, wherein, the method is applied to a monitoring node of the cloud platform, the monitoring node is connected with a plurality of resource nodes, and the resource nodes are operated with a service; the method comprises the following steps of: acquiring historical running data of a resource node in a preset period of time; inputting the historical running data into the preset resource prediction model to output the prediction result of the current required resources of the service; the preset resource prediction model is established by machine learning. Adjust the resource node that runs the service according to the prediction result. The invention establishes a resource prediction model through a machine learning mode, adjusts the resource of the service according to the prediction result output by the resource prediction model, thereby matching the actual demand of the resource and the service, ensuring the normal operation of the system, improving the resource utilization rate of the cloud platform, and saving the use cost of the platform users.

Description

technical field [0001] The present invention relates to the technical field of cloud computing, in particular to a resource adjustment method, device and cloud platform. Background technique [0002] In order to save hardware costs, users can rent computing resources in the cloud platform to run services or perform computing tasks; in the existing method, the cloud platform usually provides users with fixed-sized resources according to the user's rental requirements; when the business volume increases, The currently leased resources may not be able to meet business needs, affecting the normal operation of the service; and when the user's business volume decreases, the leased resources will be idle, making the utilization of platform resources low, which wastes the user's use costs to a certain extent . Contents of the invention [0003] In view of this, the object of the present invention is to provide a resource adjustment method, device and cloud platform, so as to matc...

AI Technical Summary

Problems solved by technology

[0002] In order to save hardware costs, users can rent computing resources in the cloud platform to run services or perform computing tasks; in the existing method, the cloud platform usually provides users with fixed-sized resources according to the user's rental requirements; when the business volume increases, The currently leased resources may not be able to meet business needs, affecting the normal operation of the service; and when the user's business volume decreases, the leased resources will be idle, making the utilization of platform resources low, which wastes the user's use costs to a certain extent

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