Cloud platform-based method for realizing multi-virtualization hybrid management and scheduling

Abstract

The invention provides a cloud platform-based method for realizing multi-virtualization hybrid management and scheduling. The method comprises the following steps: 1, obtaining the corresponding virtualization type of a mirror image according to the name of the mirror image; 2, if memory binding parameters are specified for the parameters passed in the management and scheduling method, judging whether a VMware is contained in the virtualization type or not; 3, obtaining a cluster list according to a resource pool ID value specified when a user applies to create a virtual machine; 4, searching a computing host according to a computing host list in the cluster list; 5, selecting a cluster needing to create the virtual machine; 6, judging whether the computing host in the selected cluster is empty or not; and 7, judging whether the virtualization type of the selected cluster is in accordance with the corresponding virtualization type of the mirror image or not and obtaining a UUID (Universally Unique Identifier) of the mirror image. By means of the method provided by the invention, the resource management and the reasonable scheduling of multi-virtualization platforms can be realized; the corresponding virtualization type can be found according to the name of the mirror image and the cluster needing to create the virtual machine is automatically selected; and the computing resource with the optimal performance is selected according to performance parameters.

Description

technical field [0001] The invention relates to the technical field of cloud computing, in particular to a method for realizing multi-virtualization hybrid management and scheduling based on a cloud platform. Background technique [0002] With the development of computer technology and the popularization of network applications, system virtualization technology is more and more widely used in data centers. By building a virtual machine cluster to integrate and maximize the use of existing server hardware resources, reduce data center power consumption amount, in line with the concept of green computing. Existing virtual machine cluster solutions mainly use one type of virtualization and one type of management platform. For a single virtualization scheduling algorithm, if there are multiple virtualization clusters, then multiple management platforms and corresponding scheduling algorithms are required. Insufficiencies that cannot be managed and dispatched in a unified manner...

AI Technical Summary

Problems solved by technology

Existing virtual machine cluster solutions mainly use one type of virtualization and one type of management platform. For a single virtualization scheduling algorithm, if there are multiple virtualization clusters, then multiple management platforms and corresponding scheduling algorithms are required. Disadvantages of Unable to Unify Management and Scheduling

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