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A Multi-Edge-Agent System approach for sharing heterogeneous computing resources

机译：用于共享异构计算资源的多边代理系统方法

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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 (implementing 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.
机译：随着综合和自主车辆的出现以及他们不断增长的可用服务的整合，车载电子架构不再能够达到其全部潜力。每个新的服务都需要传统上由新的电子控制单元（ECU）处理的处理和计算。现代车辆设计往往是通过特征或通过物理位置收集的ECU围绕ECU归档，以最大限度地减少接线。这两个架构无法在MIPS和记忆等资源中利用处理单元（PU）的功能。在本文中，我们通过引入多智能体系来提出一种用于管理这些资源的新方法。这个概念包括将IoT-A体系结构集成（尽可能靠近硬件的代理）和化身体系结构（在高级中虚拟化硬件的表示：云和边缘计算）。这项工作的结果是在考虑到未来车辆的环境时扩大车辆管理和功能的新的Edggegegent架构建议。

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