Cloud Resource Monitoring

Cloud Resource Monitoring is a systematic process for continuously observing, measuring, and analyzing the performance, availability, and utilization of computing resources in cloud environments to ensure efficient management, detect anomalies, and support scalability and reliability decisions.

298

Publications

11.6K

Citations

912

Authors

382

Institutions

Publications per year

2017–2026

95

Authors

912

  1. RR
    Rajiv Ranjan

    Newcastle University, United Kingdom

    8 publications · 303 citations

    8

    h-index

  2. SF
    Song Fu

    University of North Texas, United States

    7 publications · 302 citations

    7

    h-index

  3. KM
    Karan Mitra

    Luleå University of Technology, Sweden

    6 publications · 270 citations

    6

    h-index

  4. IB
    Ivona Brandić

    TU Wien, Austria

    6 publications · 352 citations

    6

    h-index

  5. SD
    Schahram Dustdar

    TU Wien, Austria

    6 publications · 402 citations

    6

    h-index

1–5 of 912

Venues

  1. Future Generation Computer Systems

    FGCS · 11 publications · 892 citations

    11

    h-index

  2. The Journal of Supercomputing

    5 publications · 83 citations

    5

    h-index

  3. IEEE Transactions on Cloud Computing

    5 publications · 214 citations

    5

    h-index

  4. IEEE Access

    5 publications · 156 citations

    5

    h-index

  5. Cluster Computing

    4 publications · 167 citations

    4

    h-index

1–5