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Improving the Accuracy of Cache-Aware Response Time Analysis Using Preemption Partitioning., , , and . ECRTS, volume 165 of LIPIcs, page 5:1-5:23. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2020)Analytical Approximations in Probabilistic Analysis of Real-Time Systems., , and . RTSS, page 158-171. IEEE, (2022)On the Convolution Efficiency for Probabilistic Analysis of Real-Time Systems., , and . ECRTS, volume 196 of LIPIcs, page 16:1-16:22. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2021)Adaptive Runtime Estimate of Task Execution Times using Bayesian Modeling., , , and . RTCSA, page 1-10. IEEE, (2021)Improved Cache-Related Preemption Delay Estimation for Fixed Preemption Point Scheduling., , and . Ada-Europe, volume 10873 of Lecture Notes in Computer Science, page 87-101. Springer, (2018)Probabilistic Response Time Analysis for Fixed Preemption Point Selection., , , , and . SIES, page 1-10. IEEE, (2018)Continuous-Emission Markov Models for Real-Time Applications: Bounding Deadline Miss Probabilities., , , and . RTAS, page 14-26. IEEE, (2023)Tightening the Bounds on Cache-Related Preemption Delay in Fixed Preemption Point Scheduling., , and . WCET, volume 57 of OASIcs, page 4:1-4:11. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2017)Preemption-Delay Aware Schedulability Analysis of Real-Time Systems.. Mälardalen University College, Västerås, Eskilstuna, Sweden, (2020)base-search.net (ftmaelardalensho:oai:DiVA.org:mdh-47889).A Comparison of Partitioning Strategies for Fixed Points Based Limited Preemptive Scheduling., , and . IEEE Trans. Ind. Informatics, 15 (2): 1070-1081 (2019)