Cache-aware Scheduling

Cache-Aware Scheduling is a scheduling strategy that belongs to the class of real-time scheduling algorithms and specifically incorporates cache behavior and memory access patterns into the scheduling decisions to minimize cache-related delays and improve predictability in deadline-constrained systems.

80

Publications

3.6K

Citations

222

Authors

95

Institutions

Publications per year

2017–2026

19

Authors

222

  1. JM
    John M. Calandrino

    University of North Carolina at Chapel Hill, United States

    6 publications · 376 citations

    6

    h-index

  2. JH
    James H. Anderson

    University of North Carolina at Chapel Hill, United States

    5 publications · 364 citations

    5

    h-index

  3. JB
    J.V. Busquets-Mataix

    Universitat Politècnica de València, Spain

    4 publications · 278 citations

    4

    h-index

  4. PG
    Pedro Gil

    Universitat Politècnica de València, Spain

    3 publications · 202 citations

    3

    h-index

  5. AW
    Andy Wellings

    University of York, United Kingdom

    3 publications · 202 citations

    3

    h-index

1–5 of 222

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 217 citations

    3

    h-index

  2. ACM Transactions on Embedded Computing Systems

    TECS · 2 publications · 46 citations

    2

    h-index

  3. 2

    h-index

  4. Real-Time Systems

    2 publications · 30 citations

    2

    h-index

  5. Wireless Networks

    2 publications · 187 citations

    2

    h-index

1–5