Collection Heuristics

Collection Heuristics is a decision-making strategy within garbage collection systems that distinguishes itself by guiding the selection of memory regions or objects for reclamation based on estimated cost-benefit trade-offs in terms of space recovery and collection overhead.

18

Publications

954

Citations

50

Authors

27

Institutions

Publications per year

2017–2026

3

Authors

50

  1. JE
    J. Eliot B. Moss

    University of Massachusetts Amherst, United States

    3 publications · 149 citations

    3

    h-index

  2. SM
    Stephen M. Blackburn

    Australian National University, Australia

    2 publications · 65 citations

    2

    h-index

  3. MH
    Matthew Hertz

    University of Massachusetts Amherst, United States

    2 publications · 65 citations

    2

    h-index

  4. WC
    William Clinger

    Northeastern University, United States

    2 publications · 48 citations

    2

    h-index

  5. LT
    Lars T. Hansen

    Northeastern University, United States

    2 publications · 48 citations

    2

    h-index

1–5 of 50

Venues

  1. ACM SIGPLAN Notices

    2 publications · 50 citations

    2

    h-index

  2. Expert Systems with Applications

    1 publications · 43 citations

    1

    h-index

  3. Soft Computing

    1 publications · 11 citations

    1

    h-index

  4. Software Practice and Experience

    1 publications · 305 citations

    1

    h-index

  5. Information Processing Letters

    1 publications · 21 citations

    1

    h-index

1–5