http://hdl.handle.net/10900/98090 Tue, 12 May 2026 20:24:42 GMT 2026-05-12T20:24:42Z https://publikationen.uni-tuebingen.de:443/xmlui/bitstream/id/a3427a7b-2f04-4326-8e77-ef1640697cfb/ http://hdl.handle.net/10900/98090 http://hdl.handle.net/10900/100582 An SDN Architecture for Automotive Ethernets Haeberle, Marco; Heimgaertner, Florian; Loehr, Hans; Nayak, Naresh; Grewe, Dennis; Schildt, Sebastian; Menth, Michael Road vehicles are equipped with a rising number of driver assistance systems resulting in increasing bandwidth demand and need for reconfiguration that are difficult to satisfy with traditional in-vehicle networks. As a result, automotive Ethernet networks become more common. With rising complexity of in-vehicle networks, new requirements emerge and call for more flexible automotive network architectures. In this work, we give examples of how Ethernet-based automotive network architectures can profit from software-defined networking (SDN) and present an SDN-based architecture that allows to reconfigure the network dynamically. Wed, 13 May 2020 00:00:00 GMT http://hdl.handle.net/10900/100582 2020-05-13T00:00:00Z http://hdl.handle.net/10900/100409 Resilience of Virtualized Embedded IoT Networks Ergenc, Doganalp; Fischer, Mathias Embedded IoT networks are the backbone of safetycritical systems like smart factories, autonomous vehicles, and airplanes. Therefore, their resilience against failures and attacks should be a prior concern. The design of more capable IoT devices enables the flexible deployment of network services by virtualization but it also increases the complexity of the systems and makes them more error-prone. In this paper, we discuss the issues and challenges to ensure resilience in virtualized embedded IoT networks by presenting proactive and reactive measures. Fri, 08 May 2020 00:00:00 GMT http://hdl.handle.net/10900/100409 2020-05-08T00:00:00Z http://hdl.handle.net/10900/100408 Towards In-Network Computing Infrastructures for Connected Vehicles Grewe, Dennis; Nayak, Naresh; Ambalavanan, Uthra; Schildt, Sebastian The demands of Highly Automated Driving (HAD) applications with respect to the underlying computing and networking infrastructure vary widely from the contemporary cloud applications. Named Function Networking (NFN) as a computing concept along with loose coupling provided by the Information Centric Networking (ICN) enables implementation of several usecases with respect to autonomous driving. In this paper, we present NFN for automotive applications with modified resolution strategies along with a proof-of-concept implementation. Fri, 08 May 2020 00:00:00 GMT http://hdl.handle.net/10900/100408 2020-05-08T00:00:00Z http://hdl.handle.net/10900/100407 Dynamic Migration of Real-Time Traffic Flows in SDN-Enabled Networks Danielis, Peter; Dán, György; Gross, James; Berger, André In this paper, we investigate the problem of dynamic migration for realtime traffic flows, which consists in accommodating new flows at runtime in SDN-enabled networks. We show results for two algorithms that can calculate direct and indirect flow migrations at runtime. Numerical results obtained on a FatTree network topology show that flow migration is typically required for networks with a modest number of flows, while direct flow migration is possible in about 60% of the cases. Fri, 08 May 2020 00:00:00 GMT http://hdl.handle.net/10900/100407 2020-05-08T00:00:00Z