Realization method and realization device for virtual machine scheduling

Abstract

The invention discloses a realization method and a realization device for virtual machine scheduling. The realization method includes monitoring resource using conditions of multiple virtual machine management platforms, determining the load of each virtual machine management platform based on the resource using condition of the virtual machine management platform, and transferring one or multiple virtual machines running in one virtual machine management platform to other virtual machine management platforms dynamically in the case that the load adjustment need of each virtual machine management platform is determined. According to the realization method and the realization device for the virtual machine scheduling, the using conditions of the multiple virtual machine management platforms are monitored, the load of each virtual machine management platform is determined based on the resource using condition of the virtual machine management platform, at least one virtual machine running in at least one virtual machine management platform is transferred to other virtual machine management platforms based on the load of each virtual machine management platform, and therefore physical partitions can be segmented comprehensively, the structure of a resource pool can be adjusted, and resources in a cloud computing environment can be reasonably allocated.

Description

Technical field [0001] The present invention relates to the field of computers, and in particular to a method and device for implementing virtual machine scheduling. Background technique [0002] Cloud Computing is developed from Distributed Computing, Parallel Computing, and Grid Computing, and is an emerging commercial computing model. Cloud computing distributes computing tasks on a resource pool composed of a large number of computers, enabling various application systems to obtain computing power, storage space, and various software services as needed. [0003] The core idea of ​​cloud computing is to uniformly manage and schedule a large number of computing resources connected with the network to form a computing resource pool to provide users with on-demand services. Therefore, how to efficiently and timely dispatch various resources quickly and reasonably is a key issue that cloud computing must solve. The current mainstream approach is to use "pooled resource scheduling"...

AI Technical Summary

Problems solved by technology

[0008] Aiming at the problem that the resources in the cloud computing environment cannot be analyzed in real time and rationally allocated in the related art, the present invention proposes a method and device for implementing virtual machine scheduling, which can comprehensively divide physical partitions and adjust the structure of resource pools. allocate resources reasonably

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