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A task unloading method based on user experience in edge computing network

An edge computing and edge server technology, applied in the field of mobile computing, can solve problems such as poor user experience

Active Publication Date: 2019-01-18
CENT SOUTH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Two important indicators that affect user experience are time delay and energy consumption, but the existing task offloading methods fail to fully consider time delay and energy consumption, resulting in poor user experience

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  • A task unloading method based on user experience in edge computing network
  • A task unloading method based on user experience in edge computing network
  • A task unloading method based on user experience in edge computing network

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Embodiment Construction

[0083] The specific implementation manners of the present invention will be further described below in conjunction with the drawings and examples. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0084] There are two key issues in designing a task offloading scheme driven by user experience quality. The first problem is the limited power of mobile smart devices. Reasonable offloading decisions should be designed so that each mobile smart device can complete its computing tasks with the lowest energy consumption. . The second problem is that because mobile users attach great importance to the processing speed of tasks, for real-time video analysis tasks, delays exceeding tens of milliseconds will damage user experience and lead to negative feedback. In the multi-user edge computing scenario, the present invention focuses on user service experience, ...

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Abstract

The invention discloses a task unloading method based on user experience in an edge computing network. The method comprises the following steps: a scheduler receives a task unloading request submittedby a user; a task unloading strategy model is jointly optimized based on time and energy expenditure; the model is solved and calculated based on a branch and bound algorithm of linear reconstruction; the task unloading strategy model is optimized based on time and energy expenditure. Based on the results of the calculation, the decision is made whether the task is unloaded to the edge server, and the tasks unloaded to the edge server are communicated and the computational resources are allocated. The invention combines two key indexes of optimization time delay and energy consumption, and solves the problem by branch and bound algorithm based on linear reconstruction technology, which can reduce the energy consumption of mobile intelligent device under the condition of ensuring the completion of the task, reduce the task processing time delay, and achieve the purpose of maximizing the optimization of user experience.

Description

technical field [0001] The present invention relates to the field of mobile computing, in particular to a user experience-based task offloading method in an edge computing network. Background technique [0002] In recent years, with the development of information technology, mobile smart devices have shown an explosive growth trend, and at the same time stimulated the emergence of many new applications, such as virtual reality, augmented reality, mobile interactive games and so on. The emergence of these new applications poses a great challenge to the user experience in the field of mobile computing. On the one hand, the computing, memory, and power capabilities of mobile smart devices are limited. On the other hand, there are often problems such as unreliable transmission delay when offloading the tasks of mobile smart terminals to the cloud for processing. Edge computing is a new type of distributed computing architecture that aims to transfer the control of computing app...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/48G06F9/50
CPCG06F9/4875G06F9/5027Y02D10/00
Inventor 邓晓衡罗杰漆华妹桂劲松
Owner CENT SOUTH UNIV
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