Cross-layer Correlation

Cross-Layer Correlation is a telemetry management framework that integrates and analyzes data across multiple protocol layers by identifying temporal and causal relationships between events at different layers to enhance fault diagnosis and network performance monitoring.

19

Publications

857

Citations

60

Authors

32

Institutions

Publications per year

2017–2026

9

Authors

60

  1. MD
    Min Dai

    National University of Singapore, Singapore

    2 publications · 108 citations

    2

    h-index

  2. DL
    Dmitri Loguinov

    Texas A&M University, United States

    2 publications · 108 citations

    2

    h-index

  3. LL
    Liang Lin

    Sun Yat-sen University, China

    1 publications · 71 citations

    1

    h-index

  4. PL
    Po-Chiang Lin

    Yuan Ze University, Taiwan

    1 publications · 34 citations

    1

    h-index

  5. YZ
    Yueping Zhang

    Suzhou University of Science and Technology, China

    1 publications · 69 citations

    1

    h-index

1–5 of 60

Venues

  1. IEEE Transactions on Multimedia

    2 publications · 150 citations

    2

    h-index

  2. 1

    h-index

  3. Royal Society Open Science

    1 publications · 176 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5