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Mobile edge computing task unloading method in multi-user scene

A computing task and edge computing technology, applied in computing, energy-saving computing, multi-programming devices, etc., can solve problems such as limited processing power and battery capacity barriers

Active Publication Date: 2018-11-30
HARBIN INST OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the limited processing power and battery capacity of mobile devices are barriers to achieving this requirement

Method used

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  • Mobile edge computing task unloading method in multi-user scene
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  • Mobile edge computing task unloading method in multi-user scene

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specific Embodiment approach 1

[0120] Specific implementation mode one: as Figures 1 to 6 As shown, the specific implementation process of a mobile edge computing task offloading method in a multi-user scenario described in this embodiment is as follows:

[0121] 1. When mobile edge computing and base stations are jointly deployed, each MEC server needs to serve more than one mobile user. Each mobile device needs to communicate with the MEC server through the wireless access network, and the MEC server can be connected to the remote central cloud server through the backbone network. If multiple devices communicate with the MEC server through a channel, the mutual interference between the devices will also increase, and tasks offloaded to the MEC server are not as good as local execution. At the same time, the resources of the MEC server deployed at the edge of the network are limited and cannot meet the excessive computing requirements at the same time.

[0122] 2. Based on the above, a specific technica...

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Abstract

The invention discloses a mobile edge computing task unloading method in a multi-user scene, and relates to the processing technical field of mobile computing systems. The invention aims to reduce response time delay and energy consumption of a mobile device. The multi-user scene is multiple mobile devices and an MEC server which are connected. Each mobile device can select one of multiple channels between the mobile device and the MEC server to perform communication. The MEC server is connected with a center cloud server through a backbone network. The method specifically comprises the following steps: constructing a multi-user scene task unloading model; and performing a two-stage task unloading strategy based on a game theory: the first stage unloading strategy is as follows: determining whether unloading is executed on the mobile device or on the MEC server, and the second stage unloading strategy is as follows: while MEC server resources are insufficient, determining whether to wait on the MEC server or execute on the center cloud server. The method is capable of, under the precondition of guaranteeing service quality and fairness of a user, considering personal requirements of the user.

Description

technical field [0001] The invention relates to a task offloading method in a multi-user scene, and relates to the processing technical field of a mobile computing system. Background technique [0002] The rapid development of mobile Internet and Internet of Things and the rapid development of new mobile applications with advanced functions have brought great pressure to mobile computing systems. However, the limited processing power and battery capacity of mobile devices present obstacles to fulfilling this requirement. Mobile Edge Computing (MEC) has emerged as a promising technology to address this issue, providing computing power within wireless access networks compared to traditional cloud computing systems using remote public clouds. By offloading computing-intensive tasks from mobile devices to nearby MEC servers, computing experience quality (including latency and device energy consumption) can be greatly improved. However, the efficiency of an MEC system largely d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50G06F9/48
CPCG06F9/4875G06F9/5044Y02D10/00
Inventor 张伟哲方滨兴何慧刘川意余翔湛刘亚维刘国强
Owner HARBIN INST OF TECH
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