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Mobile edge computing task unloading method in single-user scene

A technology for computing tasks and edge computing, applied in computing, energy-saving computing, program control design, etc., and can solve problems that do not conform to actual conditions

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

AI Technical Summary

Problems solved by technology

The scenario assumed by the task offloading method in the prior art is ideal and does not conform to the actual situation

Method used

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

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specific Embodiment approach 1

[0086] Specific implementation mode one: as Figures 1 to 5 As shown, the specific implementation process of a mobile edge computing task offloading method in a single-user scenario described in this embodiment is as follows:

[0087] 1 Single-user scenario task offloading model construction

[0088] Next, in order to facilitate the description of the problem, the task offloading model in the single-user scenario is constructed here, including the construction of the overall system model and the construction of each part model, mainly including: task queue model, local computing model, cloud computing model and computing tasks load model, etc.

[0089] 1.1 System model

[0090] system model figure 1 shown. figure 1 Contains two parts: mobile device and MEC server. Execute compute-intensive and latency-sensitive applications on mobile devices. The mobile device needs to execute N computing tasks, which are stored in the computing task queue, and the tasks are sent to diff...

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Abstract

The invention discloses a mobile edge computing task unloading method in a single-user scene, and relates to the field of treatment of a mobile computing system. The invention aims to reduce the reaction time delay and energy consumption of mobile equipment. construction of single-user scene task unloading model comprises construction of a system overall model and construction of each partial model, wherein the construction of each partial model comprises: a task queue model, a local computing model, a cloud computing model and a computing task loading model; a task unloading strategy: givinga task unloading scheme targeting at minimizing the system overall load K; executing all tasks on local CPU or an MEC server based on binary particle swarm optimization; correspondingly and locally executing a load optimal scheduling strategy, and executing a load optimal scheduling strategy by the MEC server based on pipeline scheduling. Through verification, the task unloading method in a sing-user scene provided by the invention reduces the reaction time delay and energy consumption of the mobile equipment.

Description

technical field [0001] The invention relates to a task unloading method in a single-user scenario, 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 largel...

Claims

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Application Information

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IPC IPC(8): G06F9/50G06F9/48
CPCG06F9/4875G06F9/505Y02D10/00
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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