Page Replacement Algorithms

Page Replacement Algorithms is a computational method in virtual memory management that determines which memory page to replace when a new page must be loaded into physical memory, distinguishing itself from other memory management techniques by its specific focus on optimizing page selection to minimize page faults and enhance system performance.

152

Publications

11.9K

Citations

311

Authors

137

Institutions

Publications per year

2017–2026

12

Authors

311

  1. HB
    Hyokyung Bahn

    Ewha Womans University, South Korea

    8 publications · 388 citations

    8

    h-index

  2. HO
    H. Opderbeck

    University of California, Los Angeles, United States

    5 publications · 176 citations

    5

    h-index

  3. WW
    Wesley W. Chu

    University of California, Los Angeles, United States

    5 publications · 176 citations

    5

    h-index

  4. KK
    Kern Koh

    Seoul National University, South Korea

    4 publications · 151 citations

    4

    h-index

  5. SH
    Sam H. Noh

    Hongik University, South Korea

    4 publications · 327 citations

    4

    h-index

1–5 of 311

Venues

  1. IEEE Transactions on Computers

    13 publications · 676 citations

    12

    h-index

  2. Communications of the ACM

    7 publications · 2.5K citations

    7

    h-index

  3. IEEE Transactions on Consumer Electronics

    6 publications · 219 citations

    6

    h-index

  4. Algorithmica

    4 publications · 379 citations

    4

    h-index

  5. ACM SIGMETRICS Performance Evaluation Review

    PER · 4 publications · 85 citations

    4

    h-index

1–5