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On the Convolution Efficiency for Probabilistic Analysis of Real-Time Systems (Artifact)

Authors Filip Marković , Alessandro Vittorio Papadopoulos , Thomas Nolte

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Artifact Description

DARTS.7.1.1.pdf
  • Filesize: 438 kB
  • 2 pages

Document Identifiers

Author Details

Filip Marković
  • Mälardalen University, Sweden
Alessandro Vittorio Papadopoulos
  • Mälardalen University, Sweden
Thomas Nolte
  • Mälardalen University, Sweden

Funding

This work was supported by the Swedish Research Council (VR) via the project "Practical Probabilistic Timing Analysis of Real-Time Systems (PARIS)", and by the Knowledge Foundation (KKS) via the project "Federated Choreography of an Integrated Embedded Systems Software Architecture (FIESTA)".
  • Papadopoulos, Alessandro Vittorio: Swedish Research Council (VR) via the project "Pervasive Self-Optimizing Computing Infrastructures (PSI)"

Cite As Get BibTex

Filip Marković, Alessandro Vittorio Papadopoulos, and Thomas Nolte. On the Convolution Efficiency for Probabilistic Analysis of Real-Time Systems (Artifact). In Special Issue of the 33rd Euromicro Conference on Real-Time Systems (ECRTS 2021). Dagstuhl Artifacts Series (DARTS), Volume 7, Issue 1, pp. 1:1-1:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021) https://doi.org/10.4230/DARTS.7.1.1

Artifact

  MD5 Sum: d6f1a279ef34b1e4e0b3ce49968b2901 (Get MD5 Sum)

Abstract

This artifact describes the process for validation and reproduction of the experiments given in the associated paper "On the Convolution Efficiency for Probabilistic Analysis of Real-Time Systems". This document contains the information on the scope of the presented artifact, i.e. what are the considered experiments, instructions for obtaining the source code of the experiments, tested platforms, and other relevant information.

Subject Classification

ACM Subject Classification
  • Mathematics of computing → Probabilistic algorithms
  • Computer systems organization → Real-time system specification
Keywords
  • Probabilistic analysis
  • Random variables
  • Algorithm Complexity

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Related Article

  • Filip Marković, Alessandro Vittorio Papadopoulos, and Thomas Nolte, "On the Convolution Efficiency for Probabilistic Analysis of Real-Time Systems", in 33rd Euromicro Conference on Real-Time Systems (ECRTS 2021), LIPIcs, Vol. 196, pp. 16:1-16:22, 2021. https://doi.org/10.4230/LIPIcs.ECRTS.2021.16

References

  1. Advanpix LLC. Multiprecision computing toolbox for MATLAB. Version 4.8.3.14470. URL: http://www.advanpix.com/.
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