QoE perception service enhancement method for edge artificial intelligence application

A service enhancement and artificial intelligence technology, applied in the field of Internet of Things, can solve problems such as insufficient efficiency, reduce computational complexity and improve service experience.

Active Publication Date: 2020-06-26
NAT UNIV OF DEFENSE TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these approaches are often not efficient enough due to the heterogeneous impact of factors such as latency on user quality of experience (QoE)

Method used

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  • QoE perception service enhancement method for edge artificial intelligence application
  • QoE perception service enhancement method for edge artificial intelligence application
  • QoE perception service enhancement method for edge artificial intelligence application

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Experimental program
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Embodiment Construction

[0054] Reference figure 1 , The present invention includes the following steps,

[0055] A. The IoT terminal sends the computing task to the scheduler, and the scheduler decides to send the computing request to the local server or upload to the data center according to the requirements of the computing task;

[0056] B. Establish the goals and constraints of the service enhancement model of perceived quality;

[0057] C. Establish a two-stage scheduling strategy to reduce computational complexity.

[0058] In step B, the goal and constraint conditions for establishing the service enhancement model of perceived quality include the following steps:

[0059] In the process of task processing, online arrival task T k,i (x k,i ,pre_t k,i ,req_q k,i ) Is first split in the scheduler, each virtual machine VM k,j Assigned part of task data, its weight is w k,i,j , The task is completed by a group of multiple virtual machines in parallel; in the process of task division, the constraint of re...

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Abstract

The invention discloses a QoE perception service enhancement method for an edge artificial intelligence application, and the method comprises the following steps: A, enabling an IOT terminal to transmit an operation task to a scheduler, and enabling the scheduler to judge whether to transmit an operation request to a local server or upload the operation request to a data center according to the requirements of the operation task; b, establishing a target and a constraint condition of a service enhancement model of perception quality; and C, establishing a two-stage scheduling strategy to reduce the calculation complexity. According to the invention, the defects in the prior art can be solved, and the service experience of users and the task completion rate are improved.

Description

Technical field [0001] The invention belongs to the technical field of the Internet of Things, and specifically is a QoE-aware service enhancement method for edge artificial intelligence applications. Background technique [0002] Due to the complexity of artificial intelligence (AI) algorithms, performing artificial intelligence tasks on IoT devices with limited resources has proven difficult. Edge computing provides an effective computing paradigm for executing AI tasks. A large number of AI tasks can be offloaded to edge servers for more efficient execution. However, most of the existing work focuses on improving the quality of service (QoS) to achieve effective computing offload, such as reducing the average server-side latency (for example, Chinese invention patent application 201910307861.7). However, due to the heterogeneous effects of delay and other factors on the quality of user experience (QoE), these methods are often not efficient enough. Summary of the invention ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50
CPCG06F9/5038G06F9/5072G06F9/5077G06F9/5083G06F2209/5017G06F2209/502G06F2209/5021G06F2209/508G06F2209/509
Inventor 郭得科夏俊旭廖汉龙程葛瑶
Owner NAT UNIV OF DEFENSE TECH
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