Cooperative computing unloading method based on splittable task in vehicle-mounted edge computing environment

An edge computing and computing offloading technology, applied in specific environment-based services, computing, vehicle wireless communication services, etc., can solve problems such as insufficient VCC, high access speed, and low latency

Active Publication Date: 2020-03-06
SHENZHEN UNIV
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Problems solved by technology

[0003] Moreover, the transmission distance between the vehicle and the remote cloud data center is too long. Considering the rapidly changing wireless channel and the frequent data exchange between a large number of mobile users and the mobile cloud, the backhaul network ...

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  • Cooperative computing unloading method based on splittable task in vehicle-mounted edge computing environment
  • Cooperative computing unloading method based on splittable task in vehicle-mounted edge computing environment
  • Cooperative computing unloading method based on splittable task in vehicle-mounted edge computing environment

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Embodiment Construction

[0049] In order to describe the technical content, structural features, achieved goals and effects of the present invention in detail, the following will be described in detail in conjunction with the embodiments and accompanying drawings.

[0050] see figure 1 , figure 1 It is a schematic diagram of the structure and principle of the unloading method in the first embodiment of the present invention;

[0051] A method for offloading cooperative computing based on splittable tasks in a vehicle-mounted edge computing environment, specifically comprising the following steps:

[0052] Step S1, when the calculation amount of the pending task cannot be borne, send a pending task unloading request;

[0053] Step S2, according to the feedback of the task offloading request to be processed, obtain the relevant information of the computing resources that can be invoked;

[0054] Step S3, according to the relevant information of the callable computing resources, obtain the optimal spl...

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Abstract

The invention provides a cooperative computing unloading method based on a splittable task in a vehicle-mounted edge computing environment, and the method comprises the steps: sending a to-be-processed task unloading request when the calculation amount of a to-be-processed task cannot be borne; acquiring relevant information of callable computing resources according to feedback of the to-be-processed task unloading request; and obtaining an optimal splitting ratio for task segmentation according to the related information of the callable computing resources. Therefore, the optimal unloading decision is selected by comprehensively considering the computing power of the vehicle, and the minimum task completion time delay can be conveniently obtained. After the request vehicle receives the relevant information of the callable computing resources, a task splitting model is constructed to perform construction, the optimal splitting ratio is obtained, a distributed task splitting and unloading scheme is practiced, it is guaranteed that each request vehicle autonomously decides splitting and unloading decisions of a task only based on received information, and frequent information interaction in a centralized scheme is avoided.

Description

technical field [0001] The present invention relates to the technical field of mobile edge computing Internet of Vehicles, in particular to a splittable task-based collaborative computing offloading method in a vehicle edge computing environment. Background technique [0002] To cope with the explosive growth of MEC data, a mobile cloud computing (MCC)-based vehicular cloud computing network (VCC) has been envisioned as a potential solution. Vehicles in MCC offload complex computing tasks that are difficult to complete within the maximum tolerance time to remote cloud data centers for execution through high-speed and highly reliable air interfaces. [0003] Moreover, the transmission distance between the vehicle and the remote cloud data center is too long. Considering the rapidly changing wireless channel and the frequent data exchange between a large number of mobile users and the mobile cloud, the backhaul network will become congested, which will reduce the unloading eff...

Claims

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Application Information

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IPC IPC(8): H04W4/46H04W24/02G06F9/50G07C5/00
CPCH04W4/46H04W24/02G06F9/5038G07C5/008Y02D10/00
Inventor 郭重涛黄智锋廖斌何晓燕
Owner SHENZHEN UNIV
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