Cloud resource pool management system and method

Abstract

The invention provides a cloud resource pool management system and method. The system comprises production VC, at least one production VC is deployed in each data center, and the production VC is usedfor managing a service virtual machine of the data center; and the management VC is used for uniformly managing and scheduling all production VC. According to the embodiment of the invention, the method comprises the following steps: through two levels of management architecture, the production resources and the service virtual machines are managed by the management VC, and high availability is provided for the service virtual machines for producing VC, so that unified management and scheduling of a resource pool are realized, meanwhile, VC distributed in a plurality of data centers is subjected to unified management, the management efficiency of the resources is improved, and the operation and maintenance capability of the cloud resources is improved.

Description

technical field [0001] The present invention relates to the technical field of cloud resource pool management, in particular to a cloud resource pool management system and method. Background technique [0002] In the prior art, resource pool management is mainly implemented by directly deploying a VMware virtual resource pool system. In a smaller resource pool system, a VC (VirtualCenter, virtual architecture management center, which is a virtual architecture management software provided by VMware) is usually used to manage all resources. In the face of a large resource pool, each VC system can only manage certain resources independently and manage the rights of related users independently. The operation and maintenance personnel can log in to different VC management interfaces through different account passwords to perform daily operation and maintenance management operations. A VC is an island of resources. Resources cannot be managed and allocated across VCs. There is no...

AI Technical Summary

Problems solved by technology

However, when the performance of the storage device or the network connected to the storage is degraded and the link is congested, because the virtual machine shares the storage, it will cause a large area of ​​failure, and multiple hosts and virtual machines will fail at the same time, and VC as a virtual machine machines that are also deployed on shared storage are also affected

In this failure scenario, on the one hand, a large number of business systems fail and need to be restored urgently; on the other hand, the VC management system is also in a failure state

Moreover, when a VC fails, the administrator cannot use VC's built-in vMotion, Storage vMotion, VDP (backup), Replication (replication) and other means to quickly resolve the failure to restore the VC's own functions, even third-party backup software, It is also necessary to cooperate with VC to restore the backup virtual machine, and the capacity of the VC virtual machine is relatively large, usually dozens of GB to hundreds of GB, and the recovery time under normal circumstances is at least 1 hour; During the recovery period, the O&M personnel cannot use the management function of VC to determine the scope of the fault, quickly find out the cause, and deal with the fault. As a result, the O&M personnel are "blind" and unable to locate the existing faults in a timely manner when there are hundreds of hosts. The hosts with problems can only log in to a single host one by one for viewing and processing, which is very inefficient and takes a long time to recover from failures

[0005] In the management of large-scale cloud resource pools, as the scale of resource pools increases, there are two major problems in the management structure of existing cloud resource pools: (1) The resources of different data centers are managed by different VCs, and there is no unified management interface , resources cannot be uniformly scheduled. If all resources are included in a VC for management, performance bottlenecks will easily occur; (2) When the host, network, and storage where the VC management system is located cause business failures at the same time, the VC cannot be repaired in time, resulting in O&M Personnel cannot quickly locate faults through the management system, and main business recovery is slow

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