Hinweis: Aufgrund von geplanten Wartungsarbeiten wird die Website am Mittwoch, 11. Februar 2026, ab 15:00 Uhr bis 22:00 Uhr nicht erreichbar sein.
Wir bitten dadurch entstandene Unannehmlichkeiten zu entschuldigen und danken für das Verständnis.
Zum Inhalt
Fakultät für Informatik
Outstanding Paper Award of IEEE RTSS 2024

Outstanding Paper Award of IEEE Real-Time Systems Symposium (RTSS) 2024

Outstanding Paper of RTSS 2024 © Dr Steven Xiaotian Dai (University of York)
Outstanding Paper of RTSS 2024
This paper proposes analysis, which derives response-time distributions to infer upper bounds on deadline-failure probabilities, applies to a novel task model that incorporates information about both intra- and inter-task dependencies.

Together with MPI, the researchers of DAES received an Outstanding Paper Award of IEEE Real-Time System Symposium (RTSS), took place on December 10-13, 2024 / York, United Kingdom.

Authors: Filip Markovic, Georg von der Brüggen, Mario Günzel, Jian-Jia Chen and Björn Brandenburg
Title: A Distribution-Agnostic and Correlation-Aware Analysis of Periodic Tasks

 Preprint of the paper