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  Efficiently Approximating the Worst-Case Deadline Failure Probability under EDF

von der Brüggen, G., Piatkowski, N., Chen, K.-H., Chen, J.-J., Morik, K., & Brandenburg, B. (2021). Efficiently Approximating the Worst-Case Deadline Failure Probability under EDF. In IEEE 42nd Real-Time Systems Symposium (pp. 214-226). Piscataway, NJ: IEEE. doi:10.1109/RTSS52674.2021.00029.

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Genre: Conference Paper
Latex : Efficiently Approximating the Worst-Case Deadline Failure Probability under {EDF}

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rtss21-edf-wcdfp.pdf (Preprint), 772KB
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© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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 Creators:
von der Brüggen, Georg1, Author           
Piatkowski, Nico2, Author
Chen, Kuan-Hsun2, Author
Chen, Jian-Jia2, Author
Morik, Katharina2, Author
Brandenburg, Björn1, Author           
Affiliations:
1Group B. Brandenburg, Max Planck Institute for Software Systems, Max Planck Society, ou_2105285              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20212021
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Brueggen_RTSS2021
DOI: 10.1109/RTSS52674.2021.00029
 Degree: -

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Title: IEEE 42nd Real-Time Systems Symposium
Place of Event: Dortmund, Germany (Virtual Conference)
Start-/End Date: 2021-12-07 - 2021-12-10

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Project name : PropRT
Grant ID : 865170
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)
Project name : TOROS
Grant ID : 803111
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: IEEE 42nd Real-Time Systems Symposium
  Abbreviation : RTSS 2021
  Subtitle :
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 214 - 226 Identifier: ISBN: 978-1-6654-2802-6