Mixed-criticality Scheduling

Mixed-Criticality Scheduling is a real-time scheduling paradigm that integrates tasks of differing criticality levels within a single system by ensuring higher-criticality tasks meet their timing guarantees under all conditions, while lower-criticality tasks are scheduled opportunistically based on available resources and less stringent constraints.

216

Publications

8.7K

Citations

360

Authors

156

Institutions

Publications per year

2017–2026

65

Authors

360

  1. SB
    Sanjoy Baruah

    University of North Carolina at Chapel Hill, United States

    26 publications · 1.7K citations

    20

    h-index

  2. PH
    Pengcheng Huang

    ETH Zurich, Switzerland

    14 publications · 570 citations

    14

    h-index

  3. LT
    Lothar Thiele

    ETH Zurich, Switzerland

    16 publications · 592 citations

    14

    h-index

  4. ZG
    Zhishan Guo

    University of Central Florida, United States

    12 publications · 386 citations

    12

    h-index

  5. AB
    Alan Burns

    University of York, United Kingdom

    12 publications · 692 citations

    12

    h-index

1–5 of 360

Venues

  1. Journal of Systems Architecture

    JSA · 10 publications · 315 citations

    10

    h-index

  2. Real-Time Systems

    8 publications · 420 citations

    8

    h-index

  3. 6

    h-index

  4. ACM Transactions on Embedded Computing Systems

    TECS · 7 publications · 209 citations

    6

    h-index

  5. IEEE Transactions on Computers

    5 publications · 315 citations

    5

    h-index

1–5