Object Caching

Object Caching is a caching strategy that involves the storage of serialized or structured data objects in a temporary storage layer to accelerate access and reduce computational overhead, distinguished by its focus on preserving the integrity and state of discrete application-level objects rather than raw data or code.

84

Publications

3.7K

Citations

252

Authors

108

Institutions

Publications per year

2017–2026

8

Authors

252

  1. AK
    Alex Kacelnik

    University of Oxford, United Kingdom

    3 publications · 172 citations

    3

    h-index

  2. MA
    Mustaque Ahamad

    Georgia Institute of Technology, United States

    3 publications · 105 citations

    3

    h-index

  3. RG
    Robert Gruber

    Massachusetts Institute of Technology, United States

    3 publications · 172 citations

    3

    h-index

  4. JF
    Jeffrey F. Naughton

    University of Wisconsin–Madison, United States

    2 publications · 118 citations

    2

    h-index

  5. SG
    Sanjay Ghemawat

    Google (United States), United States

    2 publications · 159 citations

    2

    h-index

1–5 of 252

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 99 citations

    3

    h-index

  2. 2

    h-index

  3. IBM Systems Journal

    2 publications · 31 citations

    2

    h-index

  4. ACM SIGMOD Record

    2 publications · 47 citations

    2

    h-index

  5. IEEE Internet Computing

    2 publications · 62 citations

    2

    h-index

1–5