Black-box Monitoring

Black-Box Monitoring is a distributed monitoring approach that observes system behavior and performance solely through external outputs and interactions without access to internal states or mechanisms.

26

Publications

1.7K

Citations

97

Authors

41

Institutions

Publications per year

2017–2026

7

Authors

97

  1. AP
    Aurojit Panda

    University of California, Berkeley, United States

    2 publications · 133 citations

    2

    h-index

  2. CS
    Colin Scott

    University of California, Berkeley, United States

    2 publications · 133 citations

    2

    h-index

  3. HB
    H. B. Acharya

    The University of Texas at Austin, United States

    2 publications · 133 citations

    2

    h-index

  4. BR
    Barath Raghavan

    International Computer Science Institute, United States

    2 publications · 133 citations

    2

    h-index

  5. SS
    Scott Shenker

    University of California, Berkeley, United States

    2 publications · 133 citations

    2

    h-index

1–5 of 97

Venues

  1. IEEE Transactions on Biomedical Engineering

    1 publications · 63 citations

    1

    h-index

  2. ACM SIGCOMM Computer Communication Review

    CCR · 1 publications · 35 citations

    1

    h-index

  3. 1996 IEEE Aerospace Applications Conference. Proceedings

    Conference · 1 publications · 10 citations

    1

    h-index

  4. ACM Transactions on Architecture and Code Optimization

    TACO · 1 publications · 43 citations

    1

    h-index

  5. IEEE Transactions on Consumer Electronics

    1 publications · 15 citations

    1

    h-index

1–5