Cloud Usage Pattern Mining

Cloud Usage Pattern Mining is a computational method within Cloud Consumption Analytics that identifies, analyzes, and extracts recurring temporal, behavioral, or structural usage behaviors from cloud resource utilization data to optimize cost, performance, and capacity planning.

12

Publications

402

Citations

49

Authors

31

Institutions

Publications per year

2017–2026

6

Authors

49

  1. FD
    Frédéric Desprez

    École Normale Supérieure de Lyon, France

    1 publications · 56 citations

    1

    h-index

  2. AC
    Arnd Christian König

    Microsoft (United States), United States

    1 publications · 51 citations

    1

    h-index

  3. BC
    Bo Cheng

    Beijing University of Posts and Telecommunications, China

    1 publications · 113 citations

    1

    h-index

  4. BB
    Boualem Benatallah

    UNSW Sydney, Australia

    1 publications · 20 citations

    1

    h-index

  5. FG
    Faı̈ez Gargouri

    University of Sfax, Tunisia

    1 publications · 20 citations

    1

    h-index

1–5 of 49

Venues

  1. The Journal of Supercomputing

    1 publications · 18 citations

    1

    h-index

  2. Future Generation Computer Systems

    FGCS · 1 publications · 14 citations

    1

    h-index

  3. Cluster Computing

    1 publications · 15 citations

    1

    h-index

  4. Journal of Network and Computer Applications

    JNCA · 1 publications · 113 citations

    1

    h-index

  5. Information and Software Technology

    1 publications · 20 citations

    1

    h-index

1–5