@techreport{GrigorjewSchumannDiederichetal.2023,
  type      = {Working Paper},
  author    = {Grigorjew, Alexej and Schumann, Lukas Kilian and Diederich, Philip and Hoßfeld, Tobias and Kellerer, Wolfgang},
  title     = {Understanding the Performance of Different Packet Reception and Timestamping Methods in Linux},
  series = {KuVS Fachgespr{\"a}ch - W{\"u}rzburg Workshop on Modeling, Analysis and Simulation of Next-Generation Communication Networks 2023 (WueWoWAS'23)},
  journal   = {KuVS Fachgespr{\"a}ch - W{\"u}rzburg Workshop on Modeling, Analysis and Simulation of Next-Generation Communication Networks 2023 (WueWoWAS'23)},
  doi       = {10.25972/OPUS-32206},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-322064},
  pages     = {5},
  year      = {2023},
  abstract  = {This document briefly presents some renowned packet reception techniques for network packets in Linux systems. Further, it compares their performance when measuring packet timestamps with respect to throughput and accuracy. Both software and hardware timestamps are compared, and various parameters are examined, including frame size, link speed, network interface card, and CPU load. The results indicate that hardware timestamping offers significantly better accuracy with no downsides, and that packet reception techniques that avoid system calls offer superior measurement throughput.},
  language  = {en}
}
@article{HossfeldHeegaardKellerer2023,
  author    = {Hossfeld, Tobias and Heegaard, Poul E. and Kellerer, Wolfgang},
  title     = {Comparing the scalability of communication networks and systems},
  series = {IEEE Access},
  volume    = {11},
  journal   = {IEEE Access},
  doi       = {10.1109/ACCESS.2023.3314201},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-349403},
  pages     = {101474-101497},
  year      = {2023},
  abstract  = {Scalability is often mentioned in literature, but a stringent definition is missing. In particular, there is no general scalability assessment which clearly indicates whether a system scales or not or whether a system scales better than another. The key contribution of this article is the definition of a scalability index (SI) which quantifies if a system scales in comparison to another system, a hypothetical system, e.g., linear system, or the theoretically optimal system. The suggested SI generalizes different metrics from literature, which are specialized cases of our SI. The primary target of our scalability framework is, however, benchmarking of two systems, which does not require any reference system. The SI is demonstrated and evaluated for different use cases, that are (1) the performance of an IoT load balancer depending on the system load, (2) the availability of a communication system depending on the size and structure of the network, (3) scalability comparison of different location selection mechanisms in fog computing with respect to delays and energy consumption; (4) comparison of time-sensitive networking (TSN) mechanisms in terms of efficiency and utilization. Finally, we discuss how to use and how not to use the SI and give recommendations and guidelines in practice. To the best of our knowledge, this is the first work which provides a general SI for the comparison and benchmarking of systems, which is the primary target of our scalability analysis.},
  language  = {en}
}
@techreport{GrigorjewDiederichHossfeldetal.2022,
  type      = {Working Paper},
  author    = {Grigorjew, Alexej and Diederich, Philip and Hoßfeld, Tobias and Kellerer, Wolfgang},
  title     = {Affordable Measurement Setups for Networking Device Latency with Sub-Microsecond Accuracy},
  series = {W{\"u}rzburg Workshop on Next-Generation Communication Networks (WueWoWas'22)},
  journal   = {W{\"u}rzburg Workshop on Next-Generation Communication Networks (WueWoWas'22)},
  doi       = {10.25972/OPUS-28075},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-280751},
  pages     = {5},
  year      = {2022},
  abstract  = {This document presents a networking latency measurement setup that focuses on affordability and universal applicability, and can provide sub-microsecond accuracy. It explains the prerequisites, hardware choices, and considerations to respect during measurement. In addition, it discusses the necessity for exhaustive latency measurements when dealing with high availability and low latency requirements. Preliminary results show that the accuracy is within ±0.02 μs when used with the Intel I350-T2 network adapter.},
  subject      = {Datennetz},
  language  = {en}
}