A Multi-Edge-Agent System approach for sharing heterogeneous computing resources
Résumé
With the emergence of connected and autonomous vehicles along with their growing integration of available services, in-vehicle electronic architecture is no longer able to work up to its full potential. Each new service demands processing and computation traditionally handled by a new Electronic Control Unit (ECU). Modern vehicle design tends to be architected around ECU gathered either by feature or by physical location to minimize wiring. Both architectures cannot exploit capabilities of Processing Units (PU) in term of resources such as MIPS and memories.
In this paper, we propose a novel approach for the management of these resources by introducing multi-agent systems. This concept consists of integrating IoT-A architectures (implement- ing agents as close as possible to the hardware), and Avatar architectures (virtualizing the representation of the hardware in high level: Cloud and Edge computing). The result of this work is the emergence of a new EdgeAgent architectural proposal to extend vehicle management and functionalities while considering the environment for vehicles of the future.