License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.ECRTS.2022.13
URN: urn:nbn:de:0030-drops-163306
URL: https://drops.dagstuhl.de/opus/volltexte/2022/16330/
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Aromolo, Federico ; Biondi, Alessandro ; Nelissen, Geoffrey

Response-Time Analysis for Self-Suspending Tasks Under EDF Scheduling

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LIPIcs-ECRTS-2022-13.pdf (0.7 MB)


Abstract

The self-suspending task model proved to be particularly effective in capturing the timing behavior of real-time systems characterized by complex execution patterns, such as computation offloading to hardware accelerators, inter-core synchronization by means of multiprocessor locking protocols, and highly parallel computation. Most of the existing results for the timing analysis of self-suspending tasks do not support the widely adopted Earliest Deadline First (EDF) scheduling algorithm, being instead primarily focused on fixed-priority scheduling. This paper presents a response-time analysis for constrained-deadline self-suspending tasks scheduled under EDF on a uniprocessor system. The proposed analysis is based on a model transformation from self-suspending sporadic tasks to sporadic tasks with jitter, which can then be analyzed using a state-of-the-art analysis method for EDF scheduling. Experimental results are presented to compare the performance of the proposed technique in terms of schedulability ratio with that of the pessimistic suspension-oblivious approach and with a less general technique for task sets with implicit deadlines.

BibTeX - Entry

@InProceedings{aromolo_et_al:LIPIcs.ECRTS.2022.13,
  author =	{Aromolo, Federico and Biondi, Alessandro and Nelissen, Geoffrey},
  title =	{{Response-Time Analysis for Self-Suspending Tasks Under EDF Scheduling}},
  booktitle =	{34th Euromicro Conference on Real-Time Systems (ECRTS 2022)},
  pages =	{13:1--13:18},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-239-6},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{231},
  editor =	{Maggio, Martina},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2022/16330},
  URN =		{urn:nbn:de:0030-drops-163306},
  doi =		{10.4230/LIPIcs.ECRTS.2022.13},
  annote =	{Keywords: Real-Time Systems, Schedulability Analysis, Self-Suspending Tasks, EDF Scheduling}
}

Keywords: Real-Time Systems, Schedulability Analysis, Self-Suspending Tasks, EDF Scheduling
Collection: 34th Euromicro Conference on Real-Time Systems (ECRTS 2022)
Issue Date: 2022
Date of publication: 28.06.2022
Supplementary Material: Software (ECRTS 2022 Artifact Evaluation approved artifact): https://doi.org/10.4230/DARTS.8.1.5


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