Resource scheduling method and device, readable storage medium and equipment

Abstract

The invention provides a resource scheduling method and device, a readable storage medium and equipment. The method comprises the following steps: predicting the resource consumption of a real-time rendering service in a next service period, and determining the resource allocation proportion of the real-time rendering service and a non-real-time rendering service in a resource pool in the serviceperiod according to the resource consumption; before the next service period arrives, scheduling according to the resource allocation proportion to enable the proportion of the resources in the resource pool to meet the requirement that the sum of the resources consumed by the real-time rendering service and the remaining idle resources in the resource pool is greater than or equal to a first proportion; and adjusting the upper limit value of the proportion of the first resource used for executing the real-time rendering service in the resource pool in the service period to be the first proportion and the upper limit value of the proportion of the second resource used for executing the non-real-time rendering service in the resource pool to be the second proportion. Thus, time division multiplexing of resources in the resource pool can be realized, the use efficiency of the resources is improved, and the cost of the cloud platform is reduced.

Description

technical field [0001] The present disclosure relates to the technical field of cloud computing, and in particular, to a resource scheduling method, device, readable storage medium and equipment. Background technique [0002] Under the cloud computing system architecture, the cloud platform can carry various types of services, such as cloud game applications, cloud VR applications and other corresponding services; when the cloud platform applies for resources, in order to meet the normal operation of various services, The cloud platform often determines the amount of resources required for the resource pool of the cloud platform based on the sum of the resources required by various businesses during the peak period. However, due to the different operating characteristics of different businesses, each business has its own peak period of operation. , so not all kinds of businesses on the cloud platform are in the peak running state in every time period, and the cloud platform ...

AI Technical Summary

Problems solved by technology

[0002] Under the cloud computing system architecture, the cloud platform can carry various types of services, such as cloud game applications, cloud VR applications and other corresponding services; when the cloud platform applies for resources, in order to meet the normal operation of various services, The cloud platform often determines the amount of resources required for the resource pool of the cloud platform based on the sum of the resources required by various businesses during the peak period. However, due to the different operating characteristics of different businesses, each business has its own peak period of operation. , so not all kinds of businesses on the cloud platform are in the peak running state in every time period, and the cloud platform is not always running at full load, which will lead to the resource pool configured by the cloud platform There are often some resources that are idle, and there are problems of low utilization of cloud platform resources and high cost of cloud platforms

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