IoV (Internet of Vehicles) service cooperative computation method and system based on cloud end, edge end and vehicle end

Abstract

The invention discloses an IoV (Internet of Vehicles) service cooperative computation method and system based on a cloud end, an edge end and a vehicle end, and belongs to the field of cloud computation and intelligent driving. According to the computation system and the computation method, firstly, a vehicle-mounted terminal responds to an IoV service request proposed by an IoV terminal application system. A cloud computation platform implements cooperative interactive computation with the vehicle-mounted terminal and an edge computation platform, and provides a service computation resource or a cloud service request by a cloud IoV service environment module. The edge computation platform implements cooperative interactive computation with the vehicle-mounted terminal and the cloud computation platform by an edge cooperative computation agent module, and takes charge of integrating feedback results of a delegation computation control environment module and an open computation controlenvironment module. According to the invention, the unilateral problems of insufficient computation ability of the vehicle end, limited computation resources of the edge end and large data delay of the cloud end are solved, computation efficiency is improved, and user experience is optimized.

Description

technical field [0001] The invention belongs to the field of cloud computing and intelligent driving, and specifically relates to a cloud-edge-vehicle-based car networking service collaborative computing method and system. Background technique [0002] Intelligent driving means that the vehicle realizes intelligent information exchange between vehicles and people, vehicles and vehicles, vehicles and roads, and vehicles and clouds through advanced sensor systems and information processing systems, so that vehicles have the ability to perceive the environment, and through cognitive computing Control the corresponding follow-up system of the vehicle to automatically complete the preset driving target. In order to achieve intelligent driving, the vehicle needs to exchange a large amount of data information with other entities, which requires the vehicle to have a certain data processing capability; Due to the increase in cost and the complexity of the control system, when perfo...

AI Technical Summary

Problems solved by technology

However, the server used for edge computing is not as powerful as the server for cloud computing, it only performs small and medium-sized calculations, and the cloud is more inclined to global non-real-time complex calculations

[0005] Smart vehicles have service requirements but are limited by the price and cost of the vehicle, battery life, storage space and computing resources. Edge computing meets real-time services and privacy security but is limited by computing resources at the edge. Cloud computing supports complex computing. Big data delay

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