Prefetching Strategies

Prefetching Strategies is a method within the field of Web Performance Optimization that entails the proactive retrieval and caching of web resources anticipated to be needed in subsequent user interactions, distinguished by its reliance on predictive algorithms and usage patterns to improve load-time performance.

805

Publications

43.9K

Citations

1.7K

Authors

514

Institutions

Publications per year

2017–2026

127

Authors

1.7K

  1. OM
    Onur Mutlu

    Carnegie Mellon University, United States

    16 publications · 1.6K citations

    15

    h-index

  2. TC
    Todd C. Mowry

    Carnegie Mellon University, United States

    13 publications · 2K citations

    13

    h-index

  3. YN
    Yale N. Patt

    The University of Texas at Austin, United States

    13 publications · 1.3K citations

    13

    h-index

  4. JS
    Julio Sahuquillo

    Universitat Politècnica de València, Spain

    11 publications · 283 citations

    11

    h-index

  5. BC
    Brad Calder

    University of California San Diego, United States

    11 publications · 656 citations

    11

    h-index

1–5 of 1.7K

Venues

  1. ACM SIGARCH Computer Architecture News

    19 publications · 895 citations

    15

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 15 publications · 806 citations

    14

    h-index

  3. IEEE Transactions on Computers

    15 publications · 582 citations

    13

    h-index

  4. ACM Transactions on Storage

    TOS · 9 publications · 245 citations

    9

    h-index

  5. ACM SIGPLAN Notices

    8 publications · 195 citations

    8

    h-index

1–5