| 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 | 79 | 2014 |
| 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 | 68 | 2017 |
| DeepTMA: predicting effective contention models for network calculus using graph neural networks F Geyer, S Bondorf IEEE INFOCOM, 1009-1017, 2019 | 43 | 2019 |
| 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 | 34 | 2015 |
| Boosting Sensor Network Calculus by Thoroughly Bounding Cross-Traffic S Bondorf, JB Schmitt IEEE INFOCOM, 235 - 243, 2015 | 34 | 2015 |
| 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 | 29 | 2021 |
| Generalized Finitary Real-Time Calculus K Lampka, S Bondorf, JB Schmitt, N Guan, W Yi IEEE INFOCOM, 2017 | 24 | 2017 |
| Achieving Efficiency without Sacrificing Model Accuracy: Network Calculus on Compact Domains K Lampka, S Bondorf, J Schmitt IEEE MASCOTS, 313-318, 2016 | 21 | 2016 |
| Improving Cross-Traffic Bounds in Feed-Forward Networks – There is a Job for Everyone S Bondorf, JB Schmitt GI/ITG MMB & DFT, 2016 | 21 | 2016 |
| Pay Bursts Only Once Holds for (Some) Non-FIFO Systems JB Schmitt, N Gollan, S Bondorf, I Martinovic IEEE INFOCOM, 1970-1978, 2011 | 21 | 2011 |
| 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 | 18 | 2017 |
| Statistical response time bounds in randomly deployed wireless sensor networks S Bondorf, JB Schmitt IEEE Conference on Local Computer Networks (LCN), 340-343, 2010 | 16 | 2010 |
| Iterative Design Space Exploration for Networks Requiring Performance Guarantees B Cattelan, S Bondorf IEEE/AIAA Digital Avionics Systems Conference (DASC), 2017 | 15 | 2017 |
| 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 | 14 | 2017 |
| 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 | 13 | 2021 |
| 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 | 13 | 2016 |
| Catching Corner Cases in Network Calculus – Flow Segregation Can Improve Accuracy S Bondorf, P Nikolaus, JB Schmitt GI/ITG MMB, 2018 | 12 | 2018 |
| 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 | 11 | 2021 |
| Tightening Network Calculus Delay Bounds by Predicting Flow Prolongations in the FIFO Analysis F Geyer, A Scheffler, S Bondorf IEEE RTAS, 2021 | 11 | 2021 |
| On the Robustness of Deep Learning-predicted Contention Models for Network Calculus F Geyer, S Bondorf IEEE Symposium on Computers and Communications (ISCC), 2020 | 11 | 2020 |
Jens B. SchmittProfessor of Computer Science, University of KaiserslauternVerified email at cs.uni-kl.de
