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Node binding-supporting virtual machine dynamic scheduling method

A technology for dynamic scheduling and node support, applied in the field of cloud computing, it can solve the problems of the impact of scheduling success rate, virtual machine dynamic scheduling does not support scheduling with special requirements, etc., so as to improve the scheduling success rate and meet the needs of normal operation.

Active Publication Date: 2015-04-29
G CLOUD TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem solved by the present invention is to provide a virtual machine dynamic scheduling method to solve the problem that the virtual machine dynamic scheduling does not support special requirement scheduling and the scheduling success rate is affected

Method used

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  • Node binding-supporting virtual machine dynamic scheduling method
  • Node binding-supporting virtual machine dynamic scheduling method
  • Node binding-supporting virtual machine dynamic scheduling method

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Experimental program
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Embodiment Construction

[0030] See figure 1 , 2 , Shown in 3, method of the present invention comprises the following steps:

[0031] Step 1: Mark several virtual machines with special requirements on the cloud platform as a virtual group, mark several physical machines with special configurations as a node group, and limit the virtual machines in a specific virtual group to run on a specific node group under the physical machine;

[0032] Step 2: Set the lower threshold A and upper threshold B of scheduling factors;

[0033] Step 3: regularly collect the scheduling factor value of each physical machine;

[0034] Step 4: Assuming that the scheduling factor value of a certain physical machine P(i) collected at a certain time is x, determine whether x is less than A or greater than B, if xB, then scheduling is required in performance mode, go to step 9;

[0035] Step 5: Remove the physical machines whose scheduling factor values ​​are less than A and greater than B in other physical machines, and s...

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Abstract

The invention relates to the technical field of computers, in particular to a node binding-supporting virtual machine dynamic scheduling method. The method comprises the following steps of marking several virtual machines with special requirements on a cloud platform into a virtual machine group; marking several physical machines with special configuration into a node group; limiting that the virtual machines in the specific virtual machine group just can run just under the physical machines in the specific node group; collecting a scheduling factor numerical value x of each physical machine in time; judging whether x is greater than or smaller than a scheduling factor lower limit threshold value A and a scheduling factor upper limit threshold value B when the scheduling factor numerical value collected by a physical machine P1at a certain time is x; scheduling under an energy saving mode if x is smaller than A; scheduling under a performance mode if x is greater than B; entering a corresponding mode and scheduling. According to the method disclosed by the invention, dynamic scheduling of virtual machines with special requirements is realized, and the method can be used for dynamic scheduling of the virtual machines.

Description

technical field [0001] The invention relates to the technical field of cloud computing, in particular to a virtual machine dynamic scheduling method supporting node binding. Background technique [0002] In traditional cloud platform management, DRS (Distributed Resource Scheduler, virtual machine dynamic scheduling) refers to the management of cloud platforms, in order to achieve the purpose of energy saving or performance optimization, according to the numerical analysis of scheduling factors collected from each physical machine , to automatically migrate some virtual machines between physical machines. Generally, migration decisions are made by analyzing the values ​​of scheduling factors collected from each physical machine, which are divided into energy-saving mode and performance mode. In energy-saving mode, if the scheduling factor value collected by a physical machine A is lower than the optimal range, and the scheduling YS value of physical machine B is within the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/48G06F9/455H04L29/08
CPCY02D10/00
Inventor 汤碧君杨松莫展鹏季统凯
Owner G CLOUD TECH
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