Gossip-based Monitoring

Gossip-Based Monitoring is a distributed monitoring approach that employs epidemic-style peer-to-peer communication protocols to probabilistically disseminate and aggregate system state information across a network of nodes.

18

Publications

556

Citations

53

Authors

32

Institutions

Publications per year

2017–2026

0

Variants

Epidemic-based Monitoring

Authors

53

  1. MD
    Mads Dam

    KTH Royal Institute of Technology, Sweden

    3 publications · 90 citations

    3

    h-index

  2. FW
    Fetahi Wuhib

    KTH Royal Institute of Technology, Sweden

    3 publications · 90 citations

    3

    h-index

  3. RS
    Rolf Stadler

    KTH Royal Institute of Technology, Sweden

    3 publications · 90 citations

    3

    h-index

  4. MJ
    Márk Jelasity

    University of Szeged, Hungary

    2 publications · 30 citations

    2

    h-index

  5. KB
    Ken Birman

    Cornell University, United States

    2 publications · 107 citations

    2

    h-index

1–5 of 53

Venues

  1. Tropical Medicine & International Health

    1 publications · 39 citations

    1

    h-index

  2. Cluster Computing

    1 publications · 31 citations

    1

    h-index

  3. ACM SIGOPS Operating Systems Review

    1 publications · 20 citations

    1

    h-index

  4. Synthese

    1 publications · 50 citations

    1

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 1 publications · 10 citations

    1

    h-index

1–5