Prof. Dr.-Ing. Steffen Bondorf

Steffen Bondorf
  Former Address   DISCO | Distributed Computer Systems Lab
Department of Computer Science
TU Kaiserslautern
PO box 3049, 67653 Kaiserslautern, Germany
       
 

Interests

 

 

 
  • Performance evaluation, Deterministic Network Calculus
  • Modeling and analysis of distributed systems
  • Real-time systems
  • Wireless sensor networks

News (This webpage is no longer maintained)

Research Projects

Selected Publications [Disco Library] [Google Scholar] [DBLP]

DeepTMA: Predicting Effective Contention Models for Network Calculus using Graph Neural Networks (Fabien Geyer and Steffen Bondorf), In Proc. of the 38th IEEE International Conference on Computer Communications (INFOCOM 2019), April 2019. (acceptance rate 19.7%) [bibtex] [pdf]

Quality and Cost of Deterministic Network Calculus – Design and Evaluation of an Accurate and Fast Analysis (Steffen Bondorf, Paul Nikolaus and Jens B. Schmitt)In Proc. of the ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2017), June 2017. (acceptance rate 14.3%) [bibtex] [pdf]

Generalized Finitary Real-Time Calculus (Kai Lampka, Steffen Bondorf, Jens B. Schmitt, Nan Guan and Wang Yi), In Proc. of the 36th IEEE International Conference on Computer Communications (INFOCOM 2017), May 2017. (acceptance rate 21%) [bibtex] [pdf]

Boosting Sensor Network Calculus by Thoroughly Bounding Cross-Traffic (Steffen Bondorf and Jens B. Schmitt), In Proc. of the 34th IEEE International Conference on Computer Communications (INFOCOM 2015), April 2015. (acceptance rate 19%) [bibtex] [pdf]

The DiscoDNC v2 – A Comprehensive Tool for Deterministic Network Calculus  (Steffen Bondorf and Jens B. Schmitt), In Proc. of the 8th EAI International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 2014) , December 2014. [bibtex] [pdf]

Teaching

I was a Docent in the Dept. of Computer Science at TUK where I taught the Worst-Case Analysis of Distributed Systems lecture ([89-4256] INF-42-56-V7).
The winter 2016/17 lecture material can be found here (accessible only within the TUK university network).

Supervising tutor (TA) during the following courses