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Brueggen/Huang/2017a: Hybrid self-suspension models in real-time embedded systems

Bibtype Inproceedings
Bibkey Brueggen/Huang/2017a
Author von der Brüggen, Georg and Huang, Wen-Hung and Chen, Jian-Jia
Title Hybrid self-suspension models in real-time embedded systems
Booktitle 23rd {IEEE} International Conference on Embedded and Real-Time Computing Systems and Applications, {RTCSA}
Pages 1--9
Publisher IEEE
Abstract To tackle the unavoidable self-suspension behavior due to I/O-intensive interactions, multi-core processors, computation offloading systems with coprocessors, etc., the dynamic and the segmented self-suspension sporadic task models have been widely used in the literature. We propose new self-suspension models that are hybrids of the dynamic and the segmented models. Those hybrid models are capable of exploiting knowledge about execution paths, potentially reducing modelling pessimism. In addition, we provide the corresponding schedulability analysis under fixed-relative-deadline (FRD) scheduling and explain how the state-of-the-art FRD scheduling strategy can be applied. Empirically, these hybrid approaches are shown to be effective with regards to the number of schedulable task sets
Year 2017
Projekt SFB876-B2
Url 10.1109/RTCSA.2017.8046328
Bibtex Here you can get this literature entry as BibTeX format.