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Probabilistic Schedulability Analysis for Mixed-Criticality DAG Tasks on Multiprocessors (Artifact)

Authors Hiroto Takahashi , Atsushi Yano , Takuya Azumi

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DARTS.12.2.11.pdf
  • Filesize: 0.55 MB
  • 3 pages

Document Identifiers

Subject Classification

ACM Subject Classification
  • Computer systems organization → Real-time systems
Keywords
  • Mixed-Criticality Systems
  • DAG Tasks
  • Probabilistic Analysis
  • Federated Scheduling
  • Real-Time Systems
  • Artifact Evaluation

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Artifact

Abstract

This artifact accompanies the ECRTS 2026 paper "Probabilistic Schedulability Analysis for Mixed-Criticality DAG Tasks on Multiprocessors". The package provides the implementation of the proposed probabilistic schedulability analysis and baseline analyses, together with the DAG-generation wrapper, experiment drivers, plotting scripts, and input data needed to reproduce the main evaluation results of the paper. The primary reproduction workflow covers the paper-scale experiments for Figures 3-5, while additional check and smoke modes provide faster functional validation. The artifact was evaluated in the ECRTS 2026 Artifact Evaluation process and received all four artifact-evaluation seals: Artifact Available, Artifact Evaluated - Functional, Artifact Evaluated - Reusable, and Artifact Evaluated - Results Reproduced.

Cite As Get BibTex

Hiroto Takahashi, Atsushi Yano, and Takuya Azumi. Probabilistic Schedulability Analysis for Mixed-Criticality DAG Tasks on Multiprocessors (Artifact). In Special Issue of the 38th European Conference on Real-Time Systems (ECRTS 2026). Dagstuhl Artifacts Series (DARTS), Volume 12, Issue 2, pp. 11:1-11:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026) https://doi.org/10.4230/DARTS.12.2.11

Author Details

Hiroto Takahashi
  • Graduate School of Science and Engineering, Saitama University, Japan
Atsushi Yano
  • Graduate School of Science and Engineering, Saitama University, Japan
  • TIER IV Inc., Tokyo, Japan
Takuya Azumi
  • Graduate School of Science and Engineering, Saitama University, Japan
  • TIER IV Inc., Tokyo, Japan

Funding

This work was supported by JST CREST Grant Number JPMJCR23M1 and JST FOREST Program Grant Number JPMJFR242G.

Acknowledgements

We thank the ECRTS 2026 Artifact Evaluation Committee and the reviewers for their constructive feedback.

Related Article

  • Hiroto Takahashi, Atsushi Yano, and Takuya Azumi, "Probabilistic Schedulability Analysis for Mixed-Criticality DAG Tasks on Multiprocessors", in 38th European Conference on Real-Time Systems (ECRTS 2026), LIPIcs, Vol. 375, pp. 3:1-3:23, 2026. https://doi.org/10.4230/LIPIcs.ECRTS.2026.3

References

  1. Atsushi Yano and Takuya Azumi. RD-Gen: Random DAG generator considering multi-rate applications for reproducible scheduling evaluation. In Proceedings of the 26th IEEE International Symposium on Real-Time Distributed Computing (ISORC), pages 21-31, 2023. URL: https://doi.org/10.1109/ISORC58943.2023.00015.
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