Cloud application stretching method, application management side and system

Abstract

The invention provides a cloud application stretching method, an application management side and a system; the method comprises the following steps: applying to the application management side, setting a minimum load threshold and a maximum load threshold, and setting a monitoring task; receiving metadata of an application, controlling a cloud platform manager and establishing at least one virtual machine for the application; sending the monitoring task to a proxy device of the at least one virtual machine; receiving early warning information corresponding to the monitoring task; when the early warning information is that a load of the first virtual machine of the at least one virtual machine is smaller than the minimum load threshold, controlling the cloud platform manager to close the first virtual machine and releasing resources occupied by the first virtual machine; and when the early warning information is that the load of any virtual machine of the at least one virtual machine is greater than the maximum load threshold, controlling the cloud platform manager, and establishing the second virtual machine for the application according to a virtual machine template comprising the proxy device. The resource utilization rate of a cloud platform is effectively improved.

Description

Technical field [0001] The invention relates to the technical field of computer applications, in particular to a cloud application scaling method, application management terminal and system. Background technique [0002] With the advent of the cloud computing era, various industries have used the hardware resources of the cloud platform to build virtual machines for running applications. The cloud platform uses resource scaling to flexibly configure resources for users, such as increasing or reducing CPU or memory, to achieve resource optimization Unified deployment and management. For governments, banks and other units, in order to ensure data security, private cloud platforms are often used, and the resource scaling method in private cloud platforms is mainly: the cloud platform monitors application load through monitoring components, and users based on the monitored application load situation , Manually change the number of virtual machines corresponding to the application. F...

AI Technical Summary

Problems solved by technology

For governments, banks and other units, in order to ensure data security, private cloud platforms are often used, and the resource scaling method in private cloud platforms is mainly: the cloud platform monitors application load through monitoring components, and users , manually change the number of virtual machines corresponding to the application, for example: through monitoring, it is found that the load is high for a certain period of time, you can set the number of virtual machines to increase during this period, and when the load changes during this period and the user does not change the virtual machine in time When the number of machines is low, the resource utilization rate of the cloud platform will be low

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