Peer Sampling

Peer Sampling is a decentralized mechanism in peer-to-peer systems that enables nodes to maintain a dynamic, representative view of the network by probabilistically selecting and exchanging information with randomly sampled peers from the global population.

39

Publications

3.8K

Citations

126

Authors

84

Institutions

Publications per year

2017–2026

7

Authors

126

  1. AK
    Anne-Marie Kermarrec

    Institut national de recherche en sciences et technologies du numérique, France

    6 publications · 813 citations

    6

    h-index

  2. JD
    Jim Dowling

    KTH Royal Institute of Technology, Sweden

    3 publications · 54 citations

    3

    h-index

  3. SS
    Subhabrata Sen

    AT&T (United States), United States

    3 publications · 347 citations

    3

    h-index

  4. RR
    Reza Rejaie

    University of Oregon, United States

    3 publications · 347 citations

    3

    h-index

  5. ND
    Nick Duffield

    AT&T (United States), United States

    3 publications · 347 citations

    3

    h-index

1–5 of 126

Venues

  1. IEEE/ACM Transactions on Networking

    TON · 2 publications · 226 citations

    2

    h-index

  2. 1

    h-index

  3. AIDS and Behavior

    1 publications · 36 citations

    1

    h-index

  4. First Monday

    1 publications · 1.5K citations

    1

    h-index

  5. PLoS ONE

    1 publications · 15 citations

    1

    h-index

1–5