Elastic telescopic group configuration method, computer readable storage medium and cloud platform

Abstract

The invention relates to the field of cloud computing, in particular to an elastic telescopic group configuration method. According to the elastic scaling group configuration method, an expected number of virtual machines are distributed to the cloud platform initially, and the distributed virtual machines are not the maximum number of virtual machines required by the elastic scaling group at the moment; and then in the running process of the cloud platform, when it is judged that the load state of the cloud platform does not reach a preset degree, namely, when the load state is better, the virtual machine is started and created to build the virtual machine, and resources such as a CPU and a memory of a physical host in a working state do not need to be excessively occupied at the moment. When the elastic scaling group needs to be expanded, the elastic scaling group can be directly added without creating a new virtual machine, so that the time consumed for creating the virtual machine can be shortened when the virtual machine is expanded, the speed of expanding the virtual machine is greatly improved, and the elastic scaling group can quickly respond to business requirements.

Description

technical field [0001] The present invention relates to the field of cloud computing, and in particular to a method for configuring an elastic scaling group, a cloud platform and a computer-readable storage medium. When the computer-readable storage medium is executed by a processor, the elastic scaling group configuration method can be realized. Background technique [0002] The emergence of cloud computing has brought about a new IT infrastructure construction, use and delivery model. The cloud server provider obtains the virtual machine of the cloud platform through server virtualization technology and provides it to the user as a business server. The core issue of cloud computing technology is the resource management of the cloud platform, and its goal is to make the cloud The platform can efficiently handle user tasks. The cloud platform adopts auto scaling to realize resource management. The auto scaling function can automatically adjust computing resources according ...

AI Technical Summary

Problems solved by technology

When the scaling decision is to expand the virtual machine, it needs to involve the steps of creating a virtual machine, starting the operating system, and starting the application. Among them, creating a virtual machine takes the longest time, and the bottleneck lies in the copying of the disk. It takes a few minutes to expand the capacity of a virtual machine. It takes up to an hour, resulting in overloading of the virtual machine during the virtual machine expansion period, unable to quickly respond to business needs

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