Adaptive Instrumentation

Adaptive Instrumentation is a form of embedded instrumentation that dynamically reconfigures its measurement, monitoring, or control capabilities in response to changing system conditions, operational modes, or analytical requirements, thereby distinguishing itself from static or fixed instrumentation through its context-aware, real-time adjustability.

9

Publications

242

Citations

19

Authors

13

Institutions

Publications per year

2017–2026

3

Authors

19

  1. BL
    Benjamin Livshits

    Microsoft (United States), United States

    3 publications · 139 citations

    3

    h-index

  2. TG
    Tao Gu

    RMIT University, Australia

    2 publications · 27 citations

    2

    h-index

  3. WD
    Wei Dong

    Zhejiang University, China

    2 publications · 27 citations

    2

    h-index

  4. GC
    Gonglong Chen

    Zhejiang University, China

    2 publications · 27 citations

    2

    h-index

  5. ZZ
    Zhiwei Zhao

    University of Electronic Science and Technology of China, China

    2 publications · 27 citations

    2

    h-index

1–5 of 19

Venues

  1. ACM Transactions on the Web

    TWEB · 1 publications · 12 citations

    1

    h-index

  2. 1

    h-index

  3. Biology

    1 publications · 24 citations

    1

    h-index

  4. IEEE Transactions on Mobile Computing

    TMCCI · 1 publications · 15 citations

    1

    h-index

  5. ACM SIGOPS Operating Systems Review

    1 publications · 15 citations

    1

    h-index

1–5