A Lightweight Virtualisation Platform for Cooperative, Connected and Automated Mobility

被引:2
|
作者
Gand, Fabian [1 ]
Fronza, Ilenia [1 ]
El Ioini, Nabil [1 ]
Barzegar, Hamid R. [1 ]
Van Thanh Le [1 ]
Pahl, Claus [1 ]
机构
[1] Free Univ Bozen Bolzano, Bolzano, Italy
来源
PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON VEHICLE TECHNOLOGY AND INTELLIGENT TRANSPORT SYSTEMS (VEHITS) | 2020年
基金
欧盟地平线“2020”;
关键词
Digital Mobility; CCAM; Road Mobility; Edge Cloud; Container; Orchestration; Performance Engineering;
D O I
10.5220/0009379802110220
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Digital mobility systems such as autonomous cars or traffic management build on connectivity and automated cooperation. In order to facilitate various use cases such as vehicle manoeuvres, infotainment support or state share functions, a distributed layered computation and communication infrastructure is needed that connects vehicles and other devices through mobile networks, linking them to edge and cloud services. Of particular relevance are lightweight clustered infrastructures close to the edge of the network that provide nonetheless sufficient compute, storage and networking capabilities. Clusters consisting of single-board devices are used in a variety of these use cases. In most cases, data that is accumulated on the devices has to be sent to remote cloud hubs for processing. However, with the hardware capabilities of these controllers continuously increasing, it is now possible to directly process data on these edge cluster. This concept is known as Edge Computing. We propose an edge computing architecture for cooperative, connected and automated mobility that relies on industry-standard technologies such as the MQTT protocol for communication, Prometheus for monitoring and Docker swarm in conjunction with openFaas for deploying containerized services.
引用
收藏
页码:211 / 220
页数:10
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