RUB » Faculty of Computer Science » DNet | Distributed and Networked Systems 

Publications

2021

  • Peter Detzner, Jana Gödeke and Steffen Bondorf. Low-Cost Search in Tree-Structured P2P Overlays: The Null-Balance Benefit. In Proc. of the 46th IEEE Conference on Local Computer Networks (IEEE LCN), October 2021 (@IEEE, bib, dataset)
  • Alexander Scheffler and Steffen Bondorf. Network Calculus for Bounding Delays in Feedforward Networks of FIFO Queueing Systems. In Proc. of the 18th International Conference on Quantitative Evaluation of Systems (QEST), August 2021 (@Springer, bib, dataset)
  • Fabien Geyer, Alexander Scheffler and Steffen Bondorf. Tightening Network Calculus Delay Bounds by Predicting Flow Prolongations in the FIFO Analysis. In Proc. of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), May 2021 (@IEEE, bib, dataset)
  • Steffen Bondorf, Binbin Chen, Jonathan Scarlett, Haifeng Yu and Yuda Zhao. Sublinear-Time Non-Adaptive Group Testing with O(k log n) Tests via Bit-Mixing Coding. In IEEE Transactions on Information Theory, vol. 67, no. 3, March 2021 (@IEEE, @ArXiv, bib)
  • Fabien Geyer and Steffen Bondorf. Graph-based Deep Learning for Fast and Tight Network Calculus Analyses. In IEEE Transactions on Network Science and Engineering, vol. 8, no. 1, January-March 2021 (@IEEE, bib, dataset)

2020

  • Steffen Bondorf and Fabien Geyer. Virtual Cross-Flow Detouring in the Deterministic Network Calculus Analysis. In Proc. of IFIP Networking (@IFIP, @IEEE, bib)
  • Bruno Cattelan, Steffen Bondorf and Alberto E. Schaeffer-Filho. An Empirical Study of Tightest Network Calculus Analyses for Networks with Multicast Flows. In Proc. of IEEE COMPSAC (@IEEE, bib)
  • Bruno Cattelan and Steffen Bondorf. On Delay Bounds and Measurements: A COTS Testbed for Network Performance Experimentation. In Proc. of IEEE ADMNET (IEEE COMPSAC Workshops) (@IEEE, bib)
  • Fabien Geyer and Steffen Bondorf. On the Robustness of Deep Learning-predicted Contention Models for Network Calculus. In Proc. of IEEE ISCC (@IEEE, @ArXiv, bib, dataset)

2019

  • Fabien Geyer and Steffen Bondorf. On the Robustness of Deep Learning-predicted Contention Models for Network Calculus. arXiv:1911.10522v1 [cs.NI], 24 Nov 2019. (@ArXiv, bib, dataset)