An edge computing resource management method for autonomous driving

An automatic driving and edge computing technology, which is applied in the field of edge computing, automatic driving, and cloud computing, can solve the problems that cannot meet the needs of automatic driving, and achieve the effects of increasing storage timeliness, meeting costs, and improving efficiency

Active Publication Date: 2021-05-18
山东浪潮创新创业科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Limited by the size and energy consumption of the vehicle itself, the resources provided by the computing unit in the vehicle cannot meet the requirements of autonomous driving. On the other hand, autonomous driving also needs to collect a large amount of vehicle driving data for training. improve model

Method used

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  • An edge computing resource management method for autonomous driving
  • An edge computing resource management method for autonomous driving

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Embodiment 1

[0039] An edge computing resource management method for autonomous driving. According to the computing resource requirements of the autonomous driving business, the edge side resources are uniformly managed and dynamically allocated to realize real-time interaction with the autonomous driving vehicle, and the computing is migrated to the edge computing node. At the same time, it completes the storage of massive autonomous driving data according to customer needs, alleviating the pressure on vehicles for computing and storage needs.

[0040] The self-driving vehicle automatically discovers edge computing nodes, and proposes an application for using edge computing resources. The edge side provides effective resources and completes billing, and interacts with multiple cloud data centers at the same time. According to user customization needs, the Data is reasonably distributed on the cloud and edge side.

[0041] During the automatic driving process of the self-driving vehicle, the...

Embodiment 2

[0047] An edge computing resource management method for automatic driving, the operation steps are as follows:

[0048] Step 1) The cloud data center conducts training using the accumulated massive data related to automatic driving to form an automatic driving decision-making model, which is placed in the core computing unit of the automatic driving vehicle for real-time decision-making of the automatic driving vehicle;

[0049] Step 2) The edge computing node described above starts the automatic discovery service, releases the resource information of its node, and receives the resource status message from the surrounding edge computing nodes and the cloud data center;

[0050] Step 3) During the driving process of the self-driving vehicle, the edge computing node is found, and if edge computing resources are needed, the required computing, storage and network resources are estimated;

[0051] Step 4) The edge computing node receives the resource application from the self-driv...

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Abstract

The invention discloses an edge computing resource management method for automatic driving. According to the requirements of the automatic driving business for computing resources, the edge side resources are uniformly managed and dynamically allocated to realize real-time interaction with the automatic driving vehicle, and the computing is migrated to At the same time, the edge computing node completes the storage of massive autonomous driving data according to customer needs, alleviating the pressure on the vehicle's computing and storage needs. Compared with the prior art, the present invention pools computing, storage and network resources on the edge side to form a transparent and highly available resource infrastructure node, providing highly available and high-performance computing capabilities for autonomous driving services. At the same time, it provides large-capacity, cheap storage services and edge-side high-speed network services; realizes the resource isolation of business and data, and dynamically completes resource switching, and charges computing, storage, and network separately on demand, making billing more reasonable; realizing computing and data. Maximize the value of storage resources; improve the efficiency of autonomous driving.

Description

technical field [0001] The present invention relates to the technical fields of cloud computing, edge computing and automatic driving, in particular to an edge computing resource management method for automatic driving. Background technique [0002] In recent years, the Internet has developed rapidly. From the PC Internet and mobile Internet to the Internet of Things era, the era of the Internet of Everything has arrived. Various heterogeneous devices such as mobile communication devices and Internet of Things terminal devices are connected to the Internet. The cloud center aggregates a large number of Physical hardware resources, and the use of virtualization technology to realize the unified allocation, scheduling and management of heterogeneous network computing resources, and the centralized construction of data centers greatly reduces the cost of computing and storage. However, as the amount of data becomes larger and larger, the transmission rate is declining, and some...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/50G06F9/48
CPCG06F9/4881G06F9/5027
Inventor 孙善宝于玲于治楼
Owner 山东浪潮创新创业科技有限公司
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