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Semi-partitioned scheduling of mixed-criticality system on multiprocessor platforms

Bibliographic Details
Title: Semi-partitioned scheduling of mixed-criticality system on multiprocessor platforms
Authors: Yang, CanghaiAff1, Wang, HanAff1, IDs1122702104101y_cor2, Zhang, JiAff1, Zuo, LongAff1
Source: The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use. 78(5):6386-6410
Database: Springer Nature Journals
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  – Url: https://dx.doi.org/doi:10.1007/s11227-021-04101-y
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PubType: Academic Journal
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  Data: Semi-partitioned scheduling of mixed-criticality system on multiprocessor platforms
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  Data: <i>The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use</i>. 78(5):6386-6410
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s11227-021-04101-y
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 6386
    Titles:
      – TitleFull: Semi-partitioned scheduling of mixed-criticality system on multiprocessor platforms
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Yang, Canghai
      – PersonEntity:
          Name:
            NameFull: Wang, Han
      – PersonEntity:
          Name:
            NameFull: Zhang, Ji
      – PersonEntity:
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            NameFull: Zuo, Long
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      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 09208542
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              Value: 15730484
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            – Type: volume
              Value: 78
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use
              Type: main
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