Multi-user computing migration method based on digital twinning technology

A multi-user, twinning technology, applied in electrical components, transmission systems, etc., can solve the problem that equipment cannot complete data computing tasks on time, and achieve the effect of reducing computing tasks, rational allocation of computing resources, and fast running speed.

Active Publication Date: 2021-04-09
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that the equipment in the network cannot complete the data calculation task on time, and proposes a multi-user calculation migration method based on digital twin technology

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  • Multi-user computing migration method based on digital twinning technology
  • Multi-user computing migration method based on digital twinning technology
  • Multi-user computing migration method based on digital twinning technology

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Embodiment Construction

[0061] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0062] Before describing the specific embodiments of the present invention, in order to make the scheme of the present invention more clear and complete, at first the abbreviations and key term definitions that appear in the present invention are explained:

[0063] (1) Buffer: buffer;

[0064] (2) OFDMA (Orthogonal Frequency Division Multiple Access): Orthogonal Frequency Division Multiple Access.

[0065] like figure 1 As shown, the present invention provides a multi-user computing migration method based on digital twin technology, comprising the following steps:

[0066] S1: Use the edge server to build a digital twin image of the device Dev i and the digital twin image ES of the edge server;

[0067] S2: Device-based digital twin image Dev i And the digital twin mirror ES of the edge server, establish a data transmission efficiency model between...

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Abstract

The invention discloses a multi-user computing migration method based on a digital twinning technology. The multi-user computing migration method comprises the following steps: S1, establishing a digital twinning mirror image of equipment and a digital twinning mirror image of an edge server; S2, establishing a data transmission efficiency model between the equipment and the edge server; S3, establishing a queue length updating model of the equipment; S4, establishing a queue length updating model of the edge server; S5, updating the digital twin mirror image of the equipment and the digital twin mirror image of the edge server; S6, evaluating the calculation time of the equipment; and S7, evaluating the calculation time of the edge server, and completing multi-user calculation migration. The invention provides a set of effective computing migration method for solving the problem that data computing cannot be completed on time due to insufficient computing resources of equipment, and the online method is more reasonable in an actual scene, stronger in operability and better in effectiveness due to the fact that the traditional single equipment does not have universality when executing a single task and is not suitable for the industrial Internet of Things.

Description

technical field [0001] The invention belongs to the technical field of industrial internet of things, and in particular relates to a multi-user computing migration method based on digital twin technology. Background technique [0002] The rapid development of the Industrial Internet of Things requires industrial production to be digitized to improve network efficiency. Digital twin technology is a promising technology that enables the digital transformation of industrial IoT by creating virtual models of physical objects. In recent years, with the large-scale popularization of the network, the number of devices linked by the Industrial Internet of Things has reached tens of billions, and the data generated by it is incalculable. However, due to the limited computing power of devices in the network such as mobile terminals, smart driving cars, and virtual reality devices, and the data computing tasks have delay effectiveness, these devices may not be able to complete computi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08
CPCH04L67/1008H04L67/60
Inventor 张彦代玥玥韩华龙卢云龙张科
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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