Mobile edge computing assisted vehicle task unloading method

An edge computing and task technology, applied in the field of vehicle communication, can solve problems such as increasing the cost of deployment, occupying other vehicle computing resources, and affecting vehicle service reliability and user QoS

Active Publication Date: 2019-04-19
CHONGQING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The advantage of this solution is that the cloud can provide powerful computing resources and reduce the computing load of offloading tasks to the MEC. However, the network delay and fluctuations in the transmission of tasks from the MEC server to the cloud server will also affect the reliability of vehicle services and the QoS of users. to influence
In addition, the MEC server and the cloud server can reduce the time delay when MEC offloads some tasks to the cloud server through ...

Method used

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  • Mobile edge computing assisted vehicle task unloading method
  • Mobile edge computing assisted vehicle task unloading method
  • Mobile edge computing assisted vehicle task unloading method

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Embodiment Construction

[0030] Hereinafter, the preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[0031] figure 1 Shown is a scene model diagram of MEC auxiliary task offloading calculation. This embodiment includes:

[0032] Step 101: Divide the task of the vehicle into N subtasks, where M subtasks are unloadable, and N-M tasks are not unloadable;

[0033] Step 102: The vehicle comprehensively considers the congestion level of the system queue, the cost of offloading subtasks to the MEC, and the queue stability, and calculates the task offloading cost accordingly;

[0034] The task queue is divided into two parts, one is the queue formed by the subtask data packets that can be unloaded to the MEC in the task, and the other is the queue formed by the non-unloadable subtasks and the subtasks that are still selected to be processed locally among the unloadable subtasks;

[0035] Step 103: Determine whether the data queue meets the delay req...

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Abstract

The invention relates to a mobile edge computing auxiliary vehicle task unloading method and belongs to the field of vehicle communication, and vehicle tasks can be divided into unloadable tasks and non-unloadable tasks according to attributes of the vehicle tasks. Selecting a local computing task for the task which cannot be unloaded; For an unloadable task, the vehicle utilizes the local computing resources and the MEC computing resources to process the task together, and the purpose of minimizing the task computing cost is achieved. the optimal offload decision depends on a comparison between benefits brought by the task in local processing and benefits brought by offloading to the MEC. In the task calculation process, the data packet queue is dynamically changed, data packets arrive and leave the queue, and meanwhile packet loss is generated due to time delay. Under the condition that the queue is kept stable, the packet loss rate of the task is optimized, the task calculation costcan be reduced, and the vehicle user data transmission experience is improved.

Description

Technical field [0001] The invention belongs to the technical field of vehicle communication and relates to a mobile edge computing assisted vehicle task offloading method. Background technique [0002] In in-vehicle networks, large-scale mobile applications usually complete services with the assistance of on-board units (OBUs). However, the computing power of OBUs is limited. Applications that require a large amount of data are used in vehicles, such as Augmented Reality (Augmented Reality). , AR), virtual reality (virtual reality, VR), ultra-clear video, etc., have relatively high requirements for delay. The task selection generated in the vehicle cannot be calculated locally to meet the low latency requirement. [0003] Relying on the powerful computing power and storage space of the cloud, offloading tasks to the cloud is one of the alternatives. However, due to the capacity limitations and delay fluctuations of the long-distance deployment of the backbone network and the back...

Claims

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Application Information

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IPC IPC(8): G06F9/48H04W28/02
CPCH04W28/0231H04W28/0236H04W28/0268G06F9/485
Inventor 黄晓舸许可赖晨彬陈前斌
Owner CHONGQING UNIV OF POSTS & TELECOMM
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