Approximate Caching

Approximate Caching is a caching technique that belongs to the class of approximate computing methods, distinguished by its deliberate relaxation of data accuracy in cached responses to improve system performance, reduce latency, or lower resource consumption while maintaining acceptable levels of correctness for a given application context.

14

Publications

1.3K

Citations

35

Authors

13

Institutions

Publications per year

2017–2026

3

Parents

Authors

35

  1. SV
    Swagath Venkataramani

    Purdue University West Lafayette, United States

    3 publications · 107 citations

    3

    h-index

  2. KR
    Kaushik Roy

    Purdue University West Lafayette, United States

    3 publications · 107 citations

    3

    h-index

  3. AR
    Anand Raghunathan

    Princeton University, United States

    3 publications · 107 citations

    3

    h-index

  4. JW
    Jennifer Widom

    Stanford University, United States

    2 publications · 233 citations

    2

    h-index

  5. BT
    Boon Thau Loo

    University of Pennsylvania, United States

    2 publications · 233 citations

    2

    h-index

1–5 of 35

Venues

  1. Proceedings of the IEEE

    1 publications · 47 citations

    1

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  2. IEEE Design and Test

    1 publications · 544 citations

    1

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. 1

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1–5