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Response-Time Analysis for Self-Suspending Tasks Under EDF Scheduling (Artifact)

Authors Federico Aromolo, Alessandro Biondi, Geoffrey Nelissen

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DARTS.8.1.5.pdf
  • Filesize: 312 kB
  • 2 pages

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Author Details

Federico Aromolo
  • Scuola Superiore Sant'Anna, Pisa, Italy
Alessandro Biondi
  • Scuola Superiore Sant'Anna, Pisa, Italy
Geoffrey Nelissen
  • Eindhoven University of Technology, Eindhoven, The Netherlands

Cite AsGet BibTex

Federico Aromolo, Alessandro Biondi, and Geoffrey Nelissen. Response-Time Analysis for Self-Suspending Tasks Under EDF Scheduling (Artifact). In Special Issue of the 34th Euromicro Conference on Real-Time Systems (ECRTS 2022). Dagstuhl Artifacts Series (DARTS), Volume 8, Issue 1, pp. 5:1-5:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/DARTS.8.1.5

Artifact

Abstract

This artifact provides the means to validate and reproduce the experimental results presented in the related paper "Response-Time Analysis for Self-Suspending Tasks Under EDF Scheduling". The paper introduces a response-time analysis for constrained-deadline self-suspending tasks scheduled under EDF on a uniprocessor system, based on a model transformation from self-suspending sporadic tasks to sporadic tasks with jitter. In the experimental evaluation presented in the paper, the performance of the proposed analysis approach for self-suspending tasks is compared with that of existing suspension-oblivious and suspension-aware analysis techniques.

Subject Classification

ACM Subject Classification
  • Computer systems organization → Real-time systems
  • Software and its engineering → Real-time schedulability
Keywords
  • Real-Time Systems
  • Schedulability Analysis
  • Self-Suspending Tasks
  • EDF Scheduling

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Related Article

  • Federico Aromolo, Alessandro Biondi, and Geoffrey Nelissen, "Response-Time Analysis for Self-Suspending Tasks Under EDF Scheduling", in 34th Euromicro Conference on Real-Time Systems (ECRTS 2022), LIPIcs, Vol. 231, pp. 13:1-13:18, 2022. https://doi.org/10.4230/LIPIcs.ECRTS.2022.13
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