@inproceedings{Senk2206:Flexible,

title = {Flexible Measurement Testbed for Evaluating Time-Sensitive Networking in Industrial Automation Applications},

author = {Stefan {Senk} and Marian {Ulbricht} and Javier {Acevedo} and Giang T. {Nguyen} and Patrick {Seeling} and Frank H. P. {Fitzek}},

doi = {10.1109/NetSoft54395.2022.9844050},

year  = {2022},

date = {2022-06-26},

urldate = {2022-06-26},

booktitle = {2022 IEEE 8th International Conference on Network Softwarization (NetSoft) 

(NetSoft 2022)},

address = {Milan, Italy},

abstract = {Deterministic communications are required for industrial environments, yet 

their realization is a challenging task. Time-Sensitive Networking (TSN) is 

intended to enable deterministic communication over inexpensive Ethernet 

networks. Standardized by the IEEE TSN working group, TSN enables precise 

control of time synchronization, traffic shaping, reliability enhancements, 

and network administration to answer the demands of industrial control 

applications. Subsequently, there is a significant need to enable turnkey 

research and 

implementation efforts. However, a current lack of open-sourced testbed 

implementations to investigate and study the behavior of TSN network 

devices limits verification to simulation and theoretical models. We 

introduce a publicly available, flexible, and open-sourced measurement 

testbed for evaluating TSN in the context of industrial automation 

applications to address the need to perform real-world measurements. In 

this contribution, we describe our testbed combining 

Commercial-Off-The-Shelf (COTS) hardware and existing open-source tools as 

a platform for in-depth evaluation of TSN devices. Providing detailed TSN 

backgrounds, we describe an in-depth performance analysis for our 

implementation. For a common Tactile Internet scenario, we observe an 

accuracy of close to 5 ns achievable with our publicly available COTS 

setup.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Ulbricht21:hwswTSN,

title = {Emulation vs. Reality: Hardware and Software Co-Design in Emulated and Implemented Time-Sensitive Networks},

author = {Marian {Ulbricht} and Javier {Acevedo} and Surik {Krdoyan} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-11-10},

booktitle = {European Wireless 2021},

address = {Verona, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Ulbricht21:PreciseFruits,

title = {Precise Fruits: Hardware Supported Time-Synchronisation on the RaspberryPI},

author = {Marian {Ulbricht} and Javier {Acevedo} and Surik {Krdoyan} and Frank H. P. {Fitzek} },

year  = {2021},

date = {2021-09-22},

booktitle = {2021 International Conference on Smart Applications, Communications and Networking (SmartNets): Industry 40 and Connected Factory},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Acev2111:Hardware,

title = {Hardware Accelerated Cryptography for Tactile Internet},

author = {Javier {Acevedo} and Marian {Ulbricht} and Jennifer {Gabriel} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-01},

booktitle = {European Wireless 2021 (EW 2021)},

address = {Verona, Italy},

abstract = {Tactile Internet (TI) applications such as industry automa-tion, connected 

autonomous cars, augmented reality and remotesurgery, are based on secure 

data transmissions at a very lowend-to-end latency. In order to fulfill 

those requirements in real applications, it is necessary to implement 

traffic encryption on the physical layer rather than the application layer. 

Nevertheless, the aforementioned integration is a computing intensive task, 

in which many arithmetic operations are involved. Therefore, hardware 

acceleration may be a solution to provide enough throughput, while 

maintaining low power consumption. In this paper we present the 

implementation of hardware acceleratorsfor cryptographic algorithms on 

heterogeneous multi-core dedicated hardware, using the state-of-the-art 

WolfSSL software embedded library. By comparing our implementation to 

software-only solutions in terms of throughput and delay using variabledata 

sets, we find performance improvements up to three orders of magnitude as 

well as around 80% latency reductions in the computing time.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}