Application stretching management method and device

Abstract

The invention discloses an application stretching management method and device, which are used for expanding an application by using the remaining resources of other data centers under the condition that the application needs to be expanded and the remaining resource of the data center where the application is positioned is insufficient, so as to improve the resource utilization ratio and expanding efficiency. The method comprises the steps of calculating the resource capacity needed by expanding the application when the condition that the load index of the application running in afirst data center exceeds the preset expanding threshold valve is determined; acquiring the remaining resource capacity of the first data center, selecting a second data center from the candidate data centers when the condition thatthe remaining resource capacity of the first data center is not greater than the resource capacity needed for expanding, wherein the remaining resource capacity of the second data center is greater than the resource capacity needed for expanding; creating a virtual machine needed for expanding in the second data center, establishing the network connection between the virtual machine and the first data center, and registering the virtual machine at the mastering node of the application.

Description

technical field [0001] The present invention relates to the field of communication technologies, and in particular to an application scaling management method and device. Background technique [0002] At present, with the general development of informatization, an enterprise may have multiple cloud data centers, and the resource consumption of each data center (DC) may be unbalanced. For example, the resources of data center A have been exhausted, and there are still a large number of remaining resources in data center B. [0003] Assume that an application is running in data center A, and the resources occupied by the application have elastic scalability. If the application needs to expand capacity, and the resources in data center A have been exhausted at this time, it cannot provide the application with the capacity expansion required. resources, which makes the application unable to expand capacity. [0004] If the capacity of data center A is expanded when the resourc...

AI Technical Summary

Problems solved by technology

[0003] Assume that an application is running in data center A, and the resources occupied by the application have elastic scalability. If the application needs to expand capacity, and the resources in data center A have been exhausted at this time, it cannot provide the application with the capacity expansion required. resources, which makes the application unable to expand the capacity

[0004] If the capacity of data center A is expanded when the resources of data center A are exhausted and there are applications that require capacity expansion, new computing, storage, and network equipment need to be purchased. Resources

Moreover, a large amount of remaining resources in data center B cannot be utilized, and the resource utilization rate is low

Images