Deterministic Network Calculus (DNC) can derive upper bounds on message transfer delay as well as the buffer size requirements of servers – two key metrics of safety-critical real-time systems that cannot tolerate violation of predefined deadlines or data being dropped due to buffer overflows.
This project's goal is to improve DNC, in particular its end-to-end analysis capabilities delivering accurate results, and to focus on applicability enhancements for a wide range of systems. Among these are systems with multicast flows, wireless sensor networks, systems best modeled with complex resource descriptions, or the combination thereof. Key aspects are system modeling and understanding the inherent interdependencies between modeling accuracy, analysis complexity, as well as accuracy of performance bounds obtained by DNC. To facilitate this research, we maintain tool support for DNC in the DiscoDNC project.
This project is funded by the Carl Zeiss Foundation grant of Steffen Bondorf [www].
Dr. Steffen Bondorf (project lead)
Alexander Scheffler (undergraduate student; B.Sc. thesis; graduate student M.Sc. and Ph.D.)
Philipp Schon (graduate student (M.Sc.))
Bruno Oliveira Cattelan (undergraduate exchange student from UFRGS, Brasil; B.Sc. thesis)
Deepak Paramashivam (graduate student (M.Sc.))
Markus Fögen (graduate student (M.Sc.))
Malte Schütze (B.Sc. thesis)
Tobias Jeske (undergraduate student)
Anja Hamscher (B.Sc. thesis)
|||Deterministic Network Calculus Analysis of Multicast Flows (Steffen Bondorf and Fabien Geyer), In Antonio Puliafito and Kishor S. Trivedi, editors, Systems Modeling: Methodologies and Tools, to appear in EAI/Springer Innovations in Communication and Computing. Springer International Publishing, October 2018. [pdf]|
|||The Deterministic Network Calculus Analysis: Reliability Insights and Performance Improvements (Alexander Scheffler, Markus Fögen, Steffen Bondorf), to appear in the 22nd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD 2018), September 2018. [bibtex] [pdf]|
|||Demo Abstract: Worst-Case Performance Analysis with the Disco Deterministic Network Calculator (Alexander Scheffler, Steffen Bondorf, Jens B. Schmitt), to appear in the 22nd IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD 2018), September 2018. [bibtex] [pdf]|
|||Cross-Sender Bit-Mixing Coding , In CoRR, volume abs/1807.04449, 2018. [bibtex] [pdf]|
|||Catching Corner Cases in Network Calculus – Flow Segregation Can Improve Accuracy (Steffen Bondorf, Paul Nikolaus, Jens B. Schmitt), In Proceedings of the 19th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems (MMB 2018), 2018. [bibtex] [pdf]|
|||Verification of the FAIR Control System using Deterministic Network Calculus (Malte Schütze, Steffen Bondorf, Mathias Kreider), In Proceedings of the 16th International Conference on Accelerator and Large Experimental Physics Control Systems (ICALEPCS 2017), 2017. [bibtex] [pdf]|
|||Iterative Design Space Exploration for Networks Requiring Performance Guarantees (Bruno Cattelan, Steffen Bondorf), In Proceedings of the IEEE/AIAA 36th Digital Avionics Systems Conference (DASC 2017), 2017. [bibtex] [pdf]|
|||The Sensor Network Calculus as Key to the Design of Wireless Sensor Networks with Predictable Performance (Jens Schmitt, Steffen Bondorf, Wint Yi Poe), In Journal of Sensor and Actuator Networks, volume 6, 2017. [bibtex] [pdf] [doi]|
|||Towards Unified Tool Support for Real-time Calculus & Deterministic Network Calculus (Philipp Schon, Steffen Bondorf), In Proceedings of the 29th Euromicro Conference on Real-Time Systems (ECRTS 2017), Work-in-Progress Session, 2017. [bibtex] [pdf]|
|||Quality and Cost of Deterministic Network Calculus – Design and Evaluation of an Accurate and Fast Analysis (Steffen Bondorf, Paul Nikolaus, Jens B. Schmitt), In Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), ACM, volume 1, 2017. [bibtex] [pdf]|
|||Quality and Cost of Deterministic Network Calculus – Design and Evaluation of an Accurate and Fast Analysis (Steffen Bondorf, Paul Nikolaus, Jens B. Schmitt), In Proceedings of the ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2017), 2017. [bibtex] [pdf]|
|||Better Bounds by Worse Assumptions – Improving Network Calculus Accuracy by Adding Pessimism to the Network Model (Steffen Bondorf), In Proceedings of the IEEE International Conference on Communications (ICC 2017), 2017. [bibtex] [pdf]|
|||Generalized Finitary Real-Time Calculus (Kai Lampka, Steffen Bondorf, Jens B. Schmitt, Nan Guan, Wang Yi), In Proceedings of the 36th IEEE International Conference on Computer Communications (INFOCOM 2017), 2017. [bibtex] [pdf]|
|||Generalizing Network Calculus Analysis to Derive Performance Guarantees for Multicast Flows (Steffen Bondorf, Fabien Geyer), In Proceedings of the 10th International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS 2016), 2016. [bibtex] [pdf]|
|||Deterministic Network Calculus for Multicasting: A Numerical Comparison Between Explicit Intermediate Bounds and Multicast Feed-Forward Analysis (Bruno Oliveira Cattelan), B.Sc. thesis, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil, 2018.|
|||Large-Scale Numerical Evaluation of Network Calculus Analyses (Anja Hamscher), B.Sc thesis, TU Kaiserslautern, 2018.|
|||Deterministic Performance Analysis of FIFO-multiplexing Feed-forward Networks (Alexander Scheffler), B.Sc. thesis, TU Kaiserslautern, 2017.|
|||Modelling and Analysis of Timing Constraints of an Industrial Control System (Malte Schütze), B.Sc. thesis, TU Kaiserslautern, 2017.|
Worst-Case Analysis of Distributed Systems lecture (WoCADS, 4 ECTS): winter term 2016/17.