@techreport{RaffeckGeisslerHossfeld2023,
  type      = {Working Paper},
  author    = {Raffeck, Simon and Geißler, Stefan and Hoßfeld, Tobias},
  title     = {Towards Understanding the Signaling Traffic in 5G Core Networks},
  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-32210},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-322106},
  pages     = {4},
  year      = {2023},
  abstract  = {The Fifth Generation (5G) communication technology, its infrastructure and architecture, though already deployed in campus and small scale networks, is still undergoing continuous changes and research. Especially, in the light of future large scale deployments and industrial use cases, a detailed analysis of the performance and utilization with regard to latency and service times constraints is crucial. To this end, a fine granular investigation of the Network Function (NF) based core system and the duration for all the tasks performed by these services is necessary. This work presents the first steps towards analyzing the signaling traffic in 5G core networks, and introduces a tool to automatically extract sequence diagrams and service times for NF tasks from traffic traces.},
  language  = {en}
}