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IoT multi-user computing offloading method supporting edge computing

A computing offloading and edge computing technology, applied in computing, computing models, program control design, etc., to achieve the effect of avoiding transmission and reducing data volume

Active Publication Date: 2022-07-29
派欧云计算(上海)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, when a terminal device needs to handle computationally intensive tasks, it is often difficult to rely on the computing resources of the device itself to meet the demand

Method used

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  • IoT multi-user computing offloading method supporting edge computing
  • IoT multi-user computing offloading method supporting edge computing
  • IoT multi-user computing offloading method supporting edge computing

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Embodiment Construction

[0033] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to specific embodiments and accompanying drawings. It should be noted that, in the drawings or descriptions in the specification, the same drawing numbers are used for similar or identical parts. Implementations not shown or described in the drawings are forms known to those of ordinary skill in the art. Additionally, although examples of parameters including specific values ​​may be provided herein, it should be understood that the parameters need not be exactly equal to the corresponding values, but may be approximated within acceptable error tolerances or design constraints. Directional terms mentioned in the embodiments, such as "up", "down", "front", "rear", "left", "right", etc., only refer to the directions of the drawings. Therefore, the directional terms used are used to illustrate ...

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Abstract

The present invention provides an IoT multi-user computing offloading method supporting edge computing, and a computing offloading strategy based on distributed training to solve the multi-user computing offloading problem in the IoT scenario supporting edge computing. By considering constraints such as network, computing power, and privacy, a decision-making method for computing offloading and energy allocation is proposed. By reasonably matching computing tasks and computing resources, it can maximize long-term utility expectations and achieve various indicators. A combination of factors.

Description

technical field [0001] The invention relates to a distributed training method applied in an IoT scenario supporting edge computing, in particular to an IoT multi-user computing offloading method supporting edge computing. Background technique [0002] As an effective extension of the Internet, the Internet of Things can connect things to the network with the help of sensors to achieve functions such as positioning, identification, and monitoring. With the rapid rise of Internet of Things technology, various related application services have flourished and have been widely used in smart home, disaster management, environmental monitoring and other fields. However, various applications need to deploy a large number of IoT devices while providing rich functions. Diverse devices have different requirements for network bandwidth, latency, and privacy, and also cause huge pressure on communication networks. Therefore, edge computing technology is introduced in the Internet of Thi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/445G06N20/00H04L67/12
CPCG06F9/44594G06N20/00H04L67/12
Inventor 王晓飞韩溢文沈仕浩聂明坤
Owner 派欧云计算(上海)有限公司
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