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.2021.12
URN: urn:nbn:de:0030-drops-139433
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Baruah, Sanjoy ; Marchetti-Spaccamela, Alberto

Feasibility Analysis of Conditional DAG Tasks

LIPIcs-ECRTS-2021-12.pdf (0.8 MB)


Feasibility analysis for Conditional DAG tasks (C-DAGs) upon multiprocessor platforms is shown to be complete for the complexity class pspace. It is shown that as a consequence integer linear programming solvers (ILP solvers) are likely to prove inadequate for such analysis. A demarcation is identified between the feasibility-analysis problems on C-DAGs that are efficiently solvable using ILP solvers and those that are not, by characterizing a restricted class of C-DAGs for which feasibility analysis is shown to be efficiently solvable using ILP solvers.

BibTeX - Entry

  author =	{Baruah, Sanjoy and Marchetti-Spaccamela, Alberto},
  title =	{{Feasibility Analysis of Conditional DAG Tasks}},
  booktitle =	{33rd Euromicro Conference on Real-Time Systems (ECRTS 2021)},
  pages =	{12:1--12:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-192-4},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{196},
  editor =	{Brandenburg, Bj\"{o}rn B.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-139433},
  doi =		{10.4230/LIPIcs.ECRTS.2021.12},
  annote =	{Keywords: Multiprocessor feasibility analysis, Conditional Directed Acyclic Graphs, PSPACE-complete}

Keywords: Multiprocessor feasibility analysis, Conditional Directed Acyclic Graphs, PSPACE-complete
Collection: 33rd Euromicro Conference on Real-Time Systems (ECRTS 2021)
Issue Date: 2021
Date of publication: 30.06.2021

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