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Edge computing divisible task unloading decision-making method

A technology of edge computing and decision-making method, which is applied in the field of decision-making for offloading tasks that can be divided into edge computing, which can solve problems such as consuming backhaul links, and achieve the effect of optimizing energy loss and completion time

Pending Publication Date: 2021-10-15
SUZHOU CHIEN SHIUNG INST OF TECH
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AI Technical Summary

Problems solved by technology

However, offloading tasks to the cloud server at the core layer needs to consume the resources of the backhaul link, which will generate additional delay overhead and energy overhead; at the same time, not all task offloading is beneficial, and some tasks need to be divided and selected The optimal scheduling algorithm can realize

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  • Edge computing divisible task unloading decision-making method
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  • Edge computing divisible task unloading decision-making method

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Embodiment Construction

[0033] The present invention will be further illustrated below in conjunction with the accompanying drawings and specific embodiments. This embodiment is implemented on the premise of the technical solution of the present invention. It should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0034] As shown in the figure, a decision-making method for offloading splittable tasks of edge computing according to the present invention, the specific method is as follows:

[0035] S1. Divide task calculation, divide a large task into subtasks, and establish corresponding task sets. The specific method is: set the number of users accessing the wireless network in edge computing to n (n=1,2,3...,N) , set each user's task offloading decision to be a n ∈{0,1};

[0036] S2, by calculating a n ∈{0,1} value to determine the choice of offloading to the server cloud or local device offlo...

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Abstract

The invention relates to an edge computing divisible task unloading decision-making method. According to the method, mobile user tasks in edge computing are divided, and a task set is established to realize unloading. A distributed calculation unloading algorithm is introduced in mobile wireless user task unloading to reduce equipment energy consumption and application time, the algorithm is suitable for a homogeneous network and a heterogeneous network, Nash equilibrium is constructed to calculate an optimal response, and a user obtains an optimal decision; the decision preferential algorithm can effectively reduce the decision iteration cost of the mobile user and the energy consumption of a device CPU, and can realize optimal resource allocation.

Description

technical field [0001] The present invention relates to the field of edge computing, in particular to a decision-making method for splittable task offloading of edge computing. Background technique [0002] The rapid development of the two major networks, the mobile Internet and the Internet of Things, makes future networks face challenges of higher speed, lower latency, and higher reliability. Various emerging applications make this challenge more real and urgent. With the development of 5G technology, information transmission and complex application processing in edge computing need to be offloaded to the cloud server side of the core layer network on demand. Push complex applications to the edge of the multi-access network on demand, and make full use of the abundant computing resources of the center to obtain high-performance computing results. However, offloading tasks to the cloud server at the core layer needs to consume the resources of the backhaul link, which wil...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/445G06F9/50
CPCG06F9/44594G06F9/5072Y02D10/00
Inventor 刘静
Owner SUZHOU CHIEN SHIUNG INST OF TECH
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