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Method and system for accurately positioning virtual computing resources

A computing resource and precise positioning technology, applied in the field of virtual computing resources, can solve the problems of inaccurate measurement of the location of the primary and secondary servers, heavy workload, etc., and achieve the effect of improving business service capabilities

Active Publication Date: 2021-09-03
山东产研信息与人工智能融合研究院有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In general, the deployment of virtual machines and containers is uniformly scheduled by the cloud computing management platform. In the case of tight communication resources, the positions of the primary and backup servers cannot be accurately measured.
[0005] Since the locations of virtual machines and containers may drift in the same region or across regions, their actual spatial locations will change. If manual measurement is used, the workload will be very heavy

Method used

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  • Method and system for accurately positioning virtual computing resources
  • Method and system for accurately positioning virtual computing resources

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0034] The spatial location of virtual machines and container resources is equivalent to the spatial location of the host physical server where they are located. Due to the operating mechanism of cloud computing, the uncertainty of their location is determined: dynamically migrate or set work according to the resource usage of the cloud platform node server. In order to obtain the precise spatial location of the virtual machine and container resources, it is only necessary to obtain the precise spatial location of the physical server and obtain it according to the scheduling relationship of the cloud computing platform.

[0035] Based on this, in one or more implementations, a method for precisely locating virtual computing resources is disclosed, refer to figure 1 , including the following steps:

[0036] (1) Obtain the spatial positions of all physical servers in the cloud computing regional center;

[0037] In this embodiment, based on the centimeter-level spatial positio...

Embodiment 2

[0054] In one or more implementations, a system for precisely locating virtual computing resources is disclosed, including:

[0055] A module for obtaining the spatial locations of all physical servers in the cloud computing regional center;

[0056] A module for obtaining the information parameters of the physical server where the virtual machine or container is located based on the deployment relationship table;

[0057] A module for obtaining the corresponding physical server and its spatial location based on the information parameters, and then determining the information parameters of the virtual machine or container.

[0058] It should be noted that the specific implementation manners of the above modules have been described in detail in the first embodiment, and will not be repeated here.

Embodiment 3

[0060] In one or more embodiments, a terminal device is disclosed, including a server, the server includes a memory, a processor, and a computer program stored on the memory and operable on the processor, and the processor executes the The program implements the method for precisely locating virtual computing resources in Embodiment 1. For the sake of brevity, details are not repeated here.

[0061] It should be understood that in this embodiment, the processor can be a central processing unit CPU, and the processor can also be other general-purpose processors, digital signal processors DSP, application specific integrated circuits ASIC, off-the-shelf programmable gate array FPGA or other programmable logic devices , discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.

[0062] The memory may include read-only memory and random access...

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Abstract

The invention discloses a method and a system for accurately positioning virtual computing resources. The method comprises the following steps: acquiring spatial positions of all physical servers in the center of a cloud computing area; based on the deployment relation table of the virtual machine or the container, obtaining information parameters of the physical server where the virtual machine or the container is located; and correspondingly obtaining a corresponding physical server and a spatial position thereof based on the information parameter, and further determining the information parameter of the virtual machine or the container. According to the method, the spatial position of the virtual machine or the container is accurately positioned by acquiring the spatial position of the physical server; and the backup resource management level of each service system and data of the cloud computing platform can be improved.

Description

technical field [0001] The present invention relates to the technical field of virtual computing resources, in particular to a method and system for precisely locating virtual computing resources. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] With the large-scale application of cloud computing technology, virtual machine and container technologies are becoming more and more mature and popular, and the resulting problems are also prominent: the precise spatial location of virtual machine and container resources is not easy to obtain, which will affect some businesses , such as production system active-active hot standby, data resource backup system, etc. [0004] Taking the government cloud as an example, important services and data usually require a certain distance between the primary and backup servers, such as 300 kilometers. In gen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/30
CPCG06F11/301G06F11/3051G06F11/3058Y02D10/00
Inventor 陈小忠姚东唐天华
Owner 山东产研信息与人工智能融合研究院有限公司