Automatic driving-oriented edge computation resource management method

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 effect of low-cost storage services, high-performance computing capabilities, and resource isolation

Active Publication Date: 2018-11-20
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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  • Automatic driving-oriented edge computation resource management method
  • Automatic driving-oriented edge computation resource management method

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Embodiment 1

[0039] An edge computing resource management method oriented to autonomous driving, according to the requirements of autonomous driving business for computing resources, unified management and dynamic allocation of edge side resources, realize real-time interaction with autonomous vehicles, and migrate computing to edge computing nodes, At the same time, the storage of massive amounts of autonomous driving data is completed according to customer needs, which relieves the pressure of vehicles on computing and storage requirements.

[0040] The self-driving vehicle automatically discovers edge computing nodes, and applies for the use of edge computing resources. The edge side provides effective resources and completes billing. At the same time, it interacts with multiple cloud data centers. Data is reasonably distributed in the cloud and edge.

[0041] During the self-driving process of the self-driving vehicle, the resource switching of the edge computing nodes is performed accor...

Embodiment 2

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

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

[0049] Step 2) The edge computing node starts the automatic discovery service, publishes the resource information of its node, and accepts the resource situation information 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 required, the required computing, storage and network resources are estimated;

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

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Abstract

The invention discloses an automatic driving-oriented edge computation resource management method. The method comprises the following steps of: carrying out uniform management and dynamic distributionon edge-side resources according to a demand, for computation resources, of an automatic driving business, so as to realize real-time interaction with an autonomous vehicle; migrating the computationto an edge computation node; and storing mass automatic driving data according to a customer demand so as to relieve the pressure, for computation and storage demands, of the vehicle. Compared with the prior art, the method has the advantages that the computation, storage and network resources of edge sides are pooled to form transparent and high-availability resource infrastructure nodes, so that high-availability computation ability is provided for automatic driving businesses, and large-capacity and low-cost storage services and edge side high-speed network services are provided at the same time; resource isolation between businesses and data is realized, and resource switching is dynamically completed, so that the computation, storage and network are respectively charged as required and then the charging is more reasonable; the value maximization of the computation and storage resources is realized; and the automatic driving efficiency is improved.

Description

technical field [0001] The invention relates to the technical fields of cloud computing, edge computing and automatic driving, in particular to an edge computing resource management method oriented to automatic driving. Background technique [0002] In recent years, the Internet has developed rapidly. From the PC Internet and the mobile Internet to the Internet of Things era, the era of the Internet of Everything has arrived. Various heterogeneous devices such as mobile communication equipment and Internet of Things terminal equipment are connected to the Internet, and the cloud center has aggregated 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, the centralized construction of data centers greatly reduces the cost of computing and storage. However, with the increasing amount of data, the transmission rate is decreasing, and some...

Claims

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Application Information

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Patent Type & Authority Applications(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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