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Complexity of partitioned scheduling for periodic tasks
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Computer Systems. (Embedded systems)
2022 (English)Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
2022.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:uu:diva-489148OAI: oai:DiVA.org:uu-489148DiVA, id: diva2:1713984
Conference
The 15th Workshop on Models and Algorithms for Planning and Scheduling (MAPSP)
Available from: 2022-11-28 Created: 2022-11-28 Last updated: 2022-11-28

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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Output format
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