EnGINE: Developing a Flexible Research Infrastructure for Reliable and Scalable Intra-Vehicular TSN Networks

@article{Rezabek2021EnGINEDA,
  title={EnGINE: Developing a Flexible Research Infrastructure for Reliable and Scalable Intra-Vehicular TSN Networks},
  author={Filip Rezabek and Marcin Bosk and Thomas Paul and Kilian Holzinger and Sebastian Gallenm{\"u}ller and Angela Gonzalez Mari{\~n}o and Abdoul Kane and Francesc Fons and Haigang Zhang and Georg Carle and J{\"o}rg Ott},
  journal={2021 17th International Conference on Network and Service Management (CNSM)},
  year={2021},
  pages={530-536}
}
  • Filip RezabekMarcin Bosk J. Ott
  • Published 25 October 2021
  • Computer Science
  • 2021 17th International Conference on Network and Service Management (CNSM)
Driver assistance, self-driving, and multimedia systems have two common implications: increasing demand on network bandwidth and the need for more powerful computation nodes. As a result, intra-vehicular networks (IVNs) change their layout. They are built around central nodes connected to the rest of the vehicle via Ethernet. The usage of Ethernet presents a challenge, as it lacks support for deterministic behavior by design. The solution is found within the IEEE Time-Sensitive Networking (TSN… 
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8 Citations
Background Citations
2
Methods Citations
4
Results Citations
2

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8 Citations

EnGINE: Flexible Research Infrastructure for Reliable and Scalable Time Sensitive Networks

It is believed that EnGINE provides the ideal environment for TSN experiments from different domains, and a key focus is on the experiment campaigns realism achieved by real IVNs’ data footage and the OS optimizations to offer real-time behavior.

EnGINE: Flexible Research Infrastructure for Reliable and Scalable Time Sensitive Networks

A key focus is on the experiment campaigns realism achieved by real IVNs’ data footage and the OS optimizations to offer real-time behavior, and believes that EnGINE provides the ideal environment for TSN experiments from different domains.

Methodology and Infrastructure for TSN-Based Reproducible Network Experiments

This work devise a methodology that introduces a workflow comprising several steps to assess TSN in various domains and summarizes the key requirements, systematically analyze IVNs traffic patterns for real-time and best effort traffic, and evaluate the performance of crucial TSN standards recommended by the IEEE 802.1DG Automotive Profile.

The Future Roadmap of In-Vehicle Network Processing: a HW-centric (R-)evolution

This work analyzes the evolution of IVNs, and focuses on the main network processing platform integrated in them: the Gateway (GW), derive the requirements of Network Processing Platforms that need to be fulfilled by future GW controllers focusing on two perspectives: functional requirements and structural requirements.

TSN-FlexTest: Flexible TSN Measurement Testbed (Extended Version)

The TSN-FlexTest testbed is designed with generic commodity hardware and open-source software components to enableible TSN measurements and provides insights into the effects of TSN configurations, indicating that a measurement accuracy of 15ns can be achieved.

PTP Security Measures and their Impact on Synchronization Accuracy

This work focuses on implementing the security extensions for PTP based on the latest PTP standard IEEE 1588-2019 to minimize the threat of attacks and their possible impact, and provides a detailed analysis on PTP synchronicity and security.

Towards Performance Benchmarking of Cyclic OPC UA PubSub over TSN

This work addresses the issue with an experimental setup for benchmarking of cyclic PubSub applications using commercial off-the-shelf (COTS) hardware and a state-of- the-art open-source OPC UA PubSub stack.

Updating the Linux TAPRIO Scheduler in Deterministic Time

It is shown that the modification of the network configuration is reliably possible in several successive communication cycles, and the real time scheduler TAPRIO is integrated into the library libnl.

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