Virtual machine operation method and device based on deep learning neural network

A neural network and deep learning technology, applied in the direction of biological neural network model, neural architecture, multi-programming device, etc., can solve the problems of increasing cloud data center overhead and wasting resources, and achieve the effect of saving resources and reducing overhead

Inactive Publication Date: 2020-02-18
梁伟
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of this, the present invention provides a method and device for running a virtual machine based on a deep learning neural network, the main purpose of which is to solve the current problem of wasting a lot of resources and increasing the cost of cloud data centers

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  • Virtual machine operation method and device based on deep learning neural network
  • Virtual machine operation method and device based on deep learning neural network
  • Virtual machine operation method and device based on deep learning neural network

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Embodiment Construction

[0061] Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present invention are shown in the drawings, it should be understood that the invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present invention and to fully convey the scope of the present invention to those skilled in the art.

[0062] The embodiment of the present invention provides a virtual machine running method based on a deep learning neural network, which can predict the virtual machine load during the running process of the virtual machine according to the resource utilization characteristics of the business running in the virtual machine, and then according to the predicted The results determine whether the virtual machine needs to be migrated at the current ti...

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Abstract

The invention discloses a virtual machine operation method and device based on a deep learning neural network, relates to the technical field of internet, the virtual machine load capacity can be predicted according to the resource utilization characteristics of the service, and then whether the virtual machine needs to be migrated at the current time or not is determined according to the prediction result, so that integration is realized according to the actual load condition, occupation of excessive physical hosts is avoided, a large number of resources are saved, and the overhead of a clouddata center is reduced. The method comprises the steps that when it is detected that a virtual machine runs, resource utilization characteristics of a service are generated; integrating the resourceutilization characteristics of the service to generate a prediction result of the virtual machine; if the prediction result indicates that the virtual machine load capacity is smaller than the migration threshold at the first target time point, when it is detected that the current time point is equal to the first target time point, determining a target physical host; migrating the virtual machinefrom the current physical host to the target physical host, and operating the virtual machine based on the target physical host.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a method and device for running a virtual machine based on a deep learning neural network. Background technique [0002] With the continuous development of Internet technology, cloud data center came into being. The cloud data center is a high-throughput computing paradigm that allocates computing resources on demand based on a pay-to-use model. It provides cloud services to cloud users through server clusters. The cloud data center provides great convenience for cloud users such as developers and enterprises, and frees cloud users from low-level tasks such as setting up server hardware and managing system software. Cloud users only need to pay for the cloud data center on demand, without Purchasing fixed hardware devices greatly reduces the computing cost of cloud users and improves development efficiency. Based on virtualization as the basic technology, cloud data center...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/455G06F9/50G06N3/04
CPCG06F9/45558G06F9/5088G06F2009/4557G06F2009/45591G06N3/045
Inventor 梁伟
Owner 梁伟
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