Log Aggregation

Log Aggregation is a data integration method that systematically collects, centralizes, and harmonizes log records from distributed sources to enable unified monitoring, analysis, and diagnosis of system-wide behaviors.

14

Publications

796

Citations

43

Authors

18

Institutions

Publications per year

2017–2026

4

Authors

43

  1. BP
    Bernhard Pflug

    UMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik, Austria

    1 publications · 25 citations

    1

    h-index

  2. RX
    Rui Xie

    Shanghai Jiao Tong University, China

    1 publications · 18 citations

    1

    h-index

  3. JR
    John R. Goodall

    Oak Ridge National Laboratory, United States

    1 publications · 12 citations

    1

    h-index

  4. MP
    Mariano P. Consens

    University of Toronto, Canada

    1 publications · 85 citations

    1

    h-index

  5. KS
    Karel Slavíček

    Masaryk University, Czechia

    1 publications · 11 citations

    1

    h-index

1–5 of 43

Venues

  1. Computer Fraud & Security

    2 publications · 39 citations

    2

    h-index

  2. Neural Computing and Applications

    1 publications · 36 citations

    1

    h-index

  3. Journal of Medical Internet Research

    1 publications · 25 citations

    1

    h-index

  4. Information Sciences

    1 publications · 37 citations

    1

    h-index

  5. KTH Publication Database DiVA (KTH Royal Institute of Technology)

    Repository · 1 publications · 11 citations

    1

    h-index

1–5