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Steffen Bondorf
Steffen Bondorf
Professor of Computer Science at Ruhr University Bochum
Verified email at rub.de - Homepage
Title
Cited by
Cited by
Year
The DiscoDNC v2 – A Comprehensive Tool for Deterministic Network Calculus
S Bondorf, JB Schmitt
Int'l Conf on Performance Evaluation Methodologies and Tools (ValueTools), 2014
902014
Quality and Cost of Deterministic Network Calculus – Design and Evaluation of an Accurate and Fast Analysis
S Bondorf, P Nikolaus, JB Schmitt
ACM SIGMETRICS / Proceedings of the ACM on Measurement and Analysis of …, 2017
722017
DeepTMA: predicting effective contention models for network calculus using graph neural networks
F Geyer, S Bondorf
IEEE INFOCOM, 1009-1017, 2019
502019
Calculating Accurate End-to-End Delay Bounds – You Better Know Your Cross-Traffic
S Bondorf, JB Schmitt
Int'l Conf on Performance Evaluation Methodologies and Tools (ValueTools), 2015
342015
Boosting Sensor Network Calculus by Thoroughly Bounding Cross-Traffic
S Bondorf, JB Schmitt
IEEE INFOCOM, 235 - 243, 2015
342015
Sublinear-time non-adaptive group testing with O(k log n) tests via bit-mixing coding
S Bondorf, B Chen, J Scarlett, H Yu, Y Zhao
IEEE Transactions on Information Theory 67 (3), 1559-1570, 2021
332021
Generalized Finitary Real-Time Calculus
K Lampka, S Bondorf, JB Schmitt, N Guan, W Yi
IEEE INFOCOM, 2017
252017
Achieving Efficiency without Sacrificing Model Accuracy: Network Calculus on Compact Domains
K Lampka, S Bondorf, J Schmitt
IEEE MASCOTS, 313-318, 2016
232016
Improving Cross-Traffic Bounds in Feed-Forward Networks – There is a Job for Everyone
S Bondorf, JB Schmitt
GI/ITG MMB & DFT, 2016
212016
Pay Bursts Only Once Holds for (Some) Non-FIFO Systems
JB Schmitt, N Gollan, S Bondorf, I Martinovic
IEEE INFOCOM, 1970-1978, 2011
212011
Better Bounds by Worse Assumptions – Improving Network Calculus Accuracy by Adding Pessimism to the Network Model
S Bondorf
IEEE International Conference on Communications (ICC), 2017
172017
Network Calculus for Bounding Delays in Feedforward Networks of FIFO Queueing Systems
A Scheffler, S Bondorf
International Conference on Quantitative Evaluation of Systems (QEST), 149-167, 2021
162021
The sensor network calculus as key to the design of wireless sensor networks with predictable performance
J Schmitt, S Bondorf, WY Poe
Journal of Sensor and Actuator Networks 6 (3), 21, 2017
162017
Statistical response time bounds in randomly deployed wireless sensor networks
S Bondorf, JB Schmitt
IEEE Conference on Local Computer Networks (LCN), 340-343, 2010
162010
Graph-based Deep Learning for Fast and Tight Network Calculus Analyses
F Geyer, S Bondorf
IEEE Transactions on Network Science and Engineering 8 (1), 2021
152021
Iterative Design Space Exploration for Networks Requiring Performance Guarantees
B Cattelan, S Bondorf
IEEE/AIAA Digital Avionics Systems Conference (DASC), 2017
152017
Generalizing Network Calculus Analysis to Derive Performance Guarantees for Multicast Flows
S Bondorf, F Geyer
Int'l Conf on Performance Evaluation Methodologies and Tools (ValueTools), 2016
152016
Catching Corner Cases in Network Calculus – Flow Segregation Can Improve Accuracy
S Bondorf, P Nikolaus, JB Schmitt
GI/ITG MMB, 2018
132018
Tightening Network Calculus Delay Bounds by Predicting Flow Prolongations in the FIFO Analysis
F Geyer, A Scheffler, S Bondorf
IEEE RTAS, 2021
112021
On the Robustness of Deep Learning-predicted Contention Models for Network Calculus
F Geyer, S Bondorf
IEEE Symposium on Computers and Communications (ISCC), 2020
112020
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