Distributed Event Processing

Distributed Event Processing is a computational paradigm within event-driven architecture that enables the parallel, scalable, and location-transparent processing of event streams across interconnected nodes in a distributed system, distinguished by its ability to coordinate event handling and state management across networked components in real time.

181

Publications

8.4K

Citations

579

Authors

214

Institutions

Publications per year

2017–2026

28

Authors

579

  1. BK
    Boris Koldehofe

    University of Stuttgart, Germany

    7 publications · 204 citations

    7

    h-index

  2. KR
    Kurt Rothermel

    University of Stuttgart, Germany

    6 publications · 177 citations

    6

    h-index

  3. EP
    Euthimios Panagos

    AT&T (United States), United States

    4 publications · 153 citations

    4

    h-index

  4. HJ
    Hans‐Arno Jacobsen

    University of Toronto, Canada

    4 publications · 72 citations

    4

    h-index

  5. JB
    Jean Bacon

    University of Cambridge, United Kingdom

    4 publications · 227 citations

    4

    h-index

1–5 of 579

Venues

  1. Journal of Physics Conference Series

    5 publications · 158 citations

    5

    h-index

  2. IEEE Transactions on Nuclear Science

    2 publications · 38 citations

    2

    h-index

  3. Energies

    1 publications · 19 citations

    2

    h-index

  4. IEEE Transactions on Services Computing

    2 publications · 139 citations

    2

    h-index

  5. IEEE Access

    2 publications · 93 citations

    2

    h-index

1–5