Abstract. Today's automotive communication architectures are composed of up to five special purpose communication technologies with dedicated features to interconnect hundreds of comfort-, safety-, and infotainment-related distributed functions. In the future, the number and complexity of such highly distributed functions will further increase and the outcome of this are stronger requirements to the underlying communication architectures. Ethernet and IP, both standardized and widely used in other industrial sectors, could be one solution to handle the upcoming requirements and could homogenize the variety of communication technologies. This paper focuses on a transformation concept to connect a CAN-based network to an Ethernet/IP-based network and vice versa. It highlights several variants which optimize different objectives, like the protocol header overhead or the latency of messages. Moreover, it presents measured results for different network utilizations and a currently deployed automotive CAN subnetwork.
Abstract-We see two important trends in ICT nowadays: the backend of online applications and services are moving to the cloud, and for delay-sensitive ones the cloud is being extended with fogs. The reason for these phenomena is most importantly economic, but there are other benefits too: fast service creation, flexible reconfigurability, and portability. The management and orchestration of these services are currently separated to at least two layers: virtual infrastructure managers (VIMs) and network controllers operate their own domains, it should consist of compute or network resources, while handling services with cross-domain deployment is done by an upper-level orchestrator. In this paper we show the slight modification of OpenStack, the mainstream VIM today, which enables it to manage a distributed cloud-fog infrastructure. While our solution alleviates the need for running OpenStack controllers in the lightweight edge, it takes into account network aspects that are extremely important in a resource setup with remote fogs. We propose and analyze an online resource orchestration algorithm, we describe the OpenStack-based implementation aspects and we also show largescale simulation results on the performance of our algorithm.
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