Traffic Sampling

Traffic Sampling is a network measurement technique that selectively collects a subset of packets or flows from the overall traffic stream according to a defined policy, enabling scalable and efficient analysis while reducing monitoring overhead in contrast to full packet capture.

169

Publications

9.1K

Citations

410

Authors

183

Institutions

Publications per year

2017–2026

32

Authors

410

  1. ND
    Nick Duffield

    AT&T (United States), United States

    19 publications · 2K citations

    17

    h-index

  2. CL
    Carsten Lund

    AT&T (United States), United States

    13 publications · 1.4K citations

    13

    h-index

  3. MT
    Mikkel Thorup

    AT&T (United States), United States

    12 publications · 1.3K citations

    12

    h-index

  4. BC
    Baek‐Young Choi

    University of Missouri–Kansas City, United States

    6 publications · 247 citations

    6

    h-index

  5. AK
    Abhishek Kumar

    Georgia Institute of Technology, United States

    5 publications · 586 citations

    5

    h-index

1–5 of 410

Venues

  1. IEEE/ACM Transactions on Networking

    TON · 8 publications · 727 citations

    8

    h-index

  2. ACM SIGCOMM Computer Communication Review

    CCR · 8 publications · 502 citations

    8

    h-index

  3. Computer Networks

    6 publications · 294 citations

    6

    h-index

  4. ACM SIGMETRICS Performance Evaluation Review

    PER · 5 publications · 215 citations

    5

    h-index

  5. IEEE Transactions on Network and Service Management

    TNSM · 4 publications · 93 citations

    4

    h-index

1–5