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Optimization method and system for kvm virtual machine scheduling based on memory disk and ssd hard disk

A virtual machine and memory disk technology, applied in the field of virtualization, can solve the problem of low reading and writing speed, achieve the effect of optimizing the scheduling process, improving the opening speed and recovery speed, and fast reading and writing speed

Active Publication Date: 2017-09-01
HARBIN ANTIY TECH
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The general improvement method now is to store the image of the virtual machine in a disk or SSD solid-state hard drive, but the read speed of the disk is much lower than that of the memory IO, and the read and write speed is still not high

Method used

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  • Optimization method and system for kvm virtual machine scheduling based on memory disk and ssd hard disk
  • Optimization method and system for kvm virtual machine scheduling based on memory disk and ssd hard disk

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Embodiment Construction

[0024] The present invention provides an optimization method and system for kvm virtual machine scheduling based on memory disks and SSD hard disks, in order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, and to achieve the above-mentioned purposes of the present invention, The features and advantages can be more obvious and easy to understand. The technical solution in the present invention will be further described in detail below in conjunction with the accompanying drawings:

[0025] The present invention first provides an optimization method for kvm virtual machine scheduling based on memory disks and SSD hard disks, such as figure 1 shown, including:

[0026] S101 generates a base image, installs an operating system, and configures a system environment;

[0027] For example, generate a basic image through the qemu-img command, the format is qcow2, and the size is 16G, and then install the oper...

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Abstract

The invention discloses a kvm virtual machine scheduling optimization method and system based on a memory disk and an SSD disk. The method includes: generating a base image, mounting an operating system, and configuring a system environment; judging whether free space of a / dev / shm directory in a tmpfs file system is larger than a preset value or not, if so, storing the base image under the / dev / shm directory, generating an increment image on the basis of the base image, and storing the increment image under the / dev / shm directory; or else, storing the base image into the SSD disk, generating an increment image on the basis of the base image, and storing the increment image into the SSD disk. The method and system has the advantages that the advantage of fast IO read-write of the memory disk is fully utilized in combination with the SSD disk, and kvm virtual machine scheduling is optimized.

Description

technical field [0001] The invention relates to the technical field of virtualization, in particular to an optimization method and system for kvm virtual machine scheduling based on memory disks and SSD hard disks. Background technique [0002] With the rapid development of virtualization, virtual machines play a vital role as a key factor. Each node calculation is performed by multiple virtual machines to quickly calculate and produce results, and finally the results are output to user. Virtualization is already widely used in cloud computing. There are many products that support virtualization, such as Virtual PC, VmWare, VirtualBox, Kvm, etc. How to use virtualization products efficiently and realize the maximum utilization of each virtual node depends on appears to be particularly important. [0003] For the use of virtualization, in order to improve utilization efficiency, large-scale concurrent deployment is required. At this time, the scheduling and use of virtual m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/455G06F9/50
Inventor 马建伟王维张栗伟
Owner HARBIN ANTIY TECH
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