Optimal edge computing node selection method and system in Internet-of-vehicles environment

Abstract

The invention discloses an optimal edge computing node selection method and system in an Internet-of-vehicles environment. The optimal edge computing node selection method comprises the steps of obtaining and analyzing vehicle computing task attributes in the Internet-of-vehicles environment; obtaining and analyzing attributes of different edge computing nodes; calculating the matching degree between the task attributes and the node attributes; analyzing calculation requirements of different tasks, and assigning weights to different types of matching degrees; and selecting a node with the optimal sum of the products of the matching degree and the weight as an optimal edge calculation node to calculate the vehicle calculation task. According to the method, rapid matching of vehicle computing task attributes and node attributes in the Internet-of-vehicles environment is achieved, the optimal edge computing node of the vehicle computing task is rapidly selected according to different computing requirements and matching results, the computing efficiency is improved, the computing requirements are met, and meanwhile node computing resources are saved.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation, relates to a method for selecting an optimal edge computing node, and in particular to a method and system for selecting an optimal edge computing node in an Internet of Vehicles environment. Background technique [0002] At present, the substantial increase in the number of motor vehicles poses a challenge to the existing transportation technology in cities. The Internet of Vehicles is a complex system engineering that can realize the interaction between vehicles and roads, as well as between vehicles and the environment. [0003] In the process of providing computing services in the Internet of Vehicles environment, it is necessary to continuously receive and process the data information of the surrounding vehicles and the vehicle's sensors. Instead of going to the cloud, control will be done locally on the device, and processing will be done at the local edge computing laye...

AI Technical Summary

Problems solved by technology

[0004] In the calculation process of the actual application of edge computing nodes, due to the differences in the data volume, maximum completion time, and CPU cycles required for calculation tasks of each vehicle, the computing resources of each computing node cannot be allocated reasonably, and there is a waste of computing resources. The defect of low efficiency of computing tasks

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