Predictable Memory Management

Predictable Memory Management is a memory management approach that belongs to the class of real-time system techniques and is distinguished by its ability to guarantee bounded and analyzable memory allocation and deallocation latencies, ensuring temporal predictability in resource-constrained environments.

23

Publications

1.2K

Citations

83

Authors

35

Institutions

Publications per year

2017–2026

2

Authors

83

  1. RK
    Ron K. Cytron

    Washington University in St. Louis, United States

    2 publications · 56 citations

    2

    h-index

  2. AC
    Angelo Corsaro

    Vanderbilt University, United States

    2 publications · 56 citations

    2

    h-index

  3. RP
    Rodolfo Pellizzoni

    University of Waterloo, Canada

    2 publications · 131 citations

    2

    h-index

  4. TH
    Teresa Higuera

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    1 publications · 27 citations

    1

    h-index

  5. AB
    Anders Blomdell

    Lund University, Sweden

    1 publications · 43 citations

    1

    h-index

1–5 of 83

Venues

  1. Real-Time Systems

    2 publications · 46 citations

    2

    h-index

  2. Proceedings of the IEEE

    1 publications · 21 citations

    1

    h-index

  3. IIE Transactions

    1 publications · 86 citations

    1

    h-index

  4. Informatica

    1 publications · 34 citations

    1

    h-index

  5. ACM SIGPLAN Notices

    1 publications · 36 citations

    1

    h-index

1–5