Multi-workflow load balancing method and system in hybrid cloud environment

Abstract

The invention belongs to the technical field of hybrid cloud, and discloses a multi-workflow load balancing method and system in a hybrid cloud environment. The multi-workflow load balancing system inthe hybrid cloud environment comprises a cloud registration login module, a load information collection module, a resource monitoring module, a central control module, a scheduling module, a balancing module, a disaster recovery module, and a display module. According to the invention, resources of the hybrid cloud can be monitored in a unified manner through the resource monitoring module, so that the resource monitoring efficiency of the hybrid cloud can be improved. Meanwhile, through the disaster recovery module, on-demand distribution and elasticity of the public cloud data center can beutilized, a large number of data resources do not need to be occupied during idle time, the probability of secondary disasters of the system is reduced, the risk of system data communication is reduced, the data safety is improved, the resource investment is reduced, faults are more rapidly handled, and the processing mode is simpler and more convenient.

Description

technical field [0001] The invention belongs to the field of hybrid cloud technology, and in particular relates to a multi-workflow load balancing method and system in a hybrid cloud environment. Background technique [0002] A hybrid cloud is a combination of public cloud, private cloud and / or public cloud in the target architecture. Due to security and control reasons, not all enterprise information can be placed on the public cloud, so most enterprises that have already applied cloud computing will use the hybrid cloud model. Many will choose to use both public and private clouds, and some will also build public clouds. Cloud computing models: private cloud, public cloud, public cloud, and hybrid cloud. Many businesses have adapted these models in different, more complex directions, as defined by the National Institute of Standards and Technology. Recently, the development plan of cloud computing has begun to revolve around the entire architecture support, around hybri...

AI Technical Summary

Problems solved by technology

[0004] The resource monitoring of the existing hybrid cloud needs to be executed in rotation among different types of cloud platforms, that is, the user needs to switch to another cloud platform to continue to perform resource monitoring after one of the cloud platforms performs resource monitoring, resulting in resource monitoring of the hybrid cloud. The efficiency is very low; at the same time, the operation and maintenance complexity of the existing hybrid cloud disaster recovery is relatively high

[0005] The scheduling speed of information in the prior art is slow, the stability is poor, and the accuracy is low, and it is impossible to accurately analyze the load status information and resource status information; the accuracy of the service access request information in the prior art is low, and the information transfer efficiency Poor, not conducive to the rapid transmission of information to the normal target data center for access

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