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Multi-user multi-task unloading method based on mobile edge computing

An edge computing and multi-user technology, applied in the field of communication, can solve problems such as the inability to realize joint processing delay optimization between users and edge servers

Active Publication Date: 2020-05-12
NANJING UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The present invention provides a multi-user and multi-task offloading method based on mobile edge computing to solve the problem that the existing task offloading method based on mobile edge computing cannot realize the delay optimization of the joint processing of users and edge servers

Method used

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  • Multi-user multi-task unloading method based on mobile edge computing
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  • Multi-user multi-task unloading method based on mobile edge computing

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Embodiment Construction

[0126] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0127] The first embodiment of the present invention discloses a multi-user and multi-task offloading method based on mobile edge computing. This method is applied to the scene of small-scale big data communication, such as the scene of multi-player AR real-time game. Due to the characteristics of AR itself, it makes Each AR device will generate a large number of tasks during operation, and the limited capacity of the communication network will cause a large delay in task processing and affect user experience. The strategy and algorithm proposed by the present invention can effectively reduce task processing delay and improve user experience under existing network conditions.

[0128] Such as figure 2 As shown, it is a schematic...

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Abstract

The invention discloses a multi-user and multi-task unloading method based on mobile edge computing, and the method comprises the steps: 1, a multi-user and multi-task scene model is built based on mobile edge computing, and the multi-user and multi-task scene model comprises a system model and a module model; the module model comprises a task model, a channel model, a task unloading model and a computing model of a local and edge server of the mobile equipment; 2, the tasks are unloaded according to task categories and task unloading strategies, wherein the task categories include personal tasks and shared tasks, and the task unloading strategies are obtained by solving with the optimal task processing time delay as the target. By adopting the method, the time delay optimization of the joint processing of the user and the edge server can be realized through mobile edge calculation under the conditions of multiple users and multiple tasks with shared tasks and inseparable tasks.

Description

technical field [0001] The present invention relates to the field of communication, in particular to a method for minimizing time delay for a mobile device and an edge server to co-process multi-tasks in a mobile edge computing communication system. Background technique [0002] In recent years, the emergence of a large number of smart mobile terminals has brought great convenience to people's lives. At the same time, the large amount of data generated by terminal devices has brought a great burden to the communication network and reduced the overall performance of the network. In some specific scenarios, such as augmented reality (Augmented Reality, AR), cloud games, etc., the latency requirements for task processing are very high, which poses new challenges to the strategy of network processing tasks. As a new communication and computing architecture, mobile edge computing sets the server around the user, which greatly shortens the communication link between the user and ...

Claims

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Application Information

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IPC IPC(8): H04W24/02
CPCH04W24/02
Inventor 季荣华申富饶赵健
Owner NANJING UNIV
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