Threshold-based Load Balancing

Threshold-Based Load Balancing is a load balancing strategy that belongs to the class of static or dynamic load distribution methods, distinguished by its use of predefined threshold values for system metrics—such as CPU utilization, memory occupancy, or response time—to trigger task migration or resource allocation decisions when thresholds are exceeded.

28

Publications

796

Citations

71

Authors

41

Institutions

Publications per year

2017–2026

5

Authors

71

  1. NK
    Neeraj Kumar Rathore

    Jaypee University of Engineering and Technology, Guna, India

    3 publications · 97 citations

    3

    h-index

  2. IC
    Inderveer Chana

    Thapar Institute of Engineering & Technology, India

    2 publications · 72 citations

    2

    h-index

  3. DT
    Don Towsley

    University of Massachusetts Amherst, United States

    2 publications · 76 citations

    2

    h-index

  4. YZ
    Yongbing Zhang

    University of Tsukuba, Japan

    1 publications · 14 citations

    1

    h-index

  5. MC
    Michele Colajanni

    University of Modena and Reggio Emilia, Italy

    1 publications · 14 citations

    1

    h-index

1–5 of 71

Venues

  1. Wireless Personal Communications

    2 publications · 35 citations

    2

    h-index

  2. Sensors

    1 publications · 18 citations

    1

    h-index

  3. Figshare

    Repository · 1 publications · 13 citations

    1

    h-index

  4. Journal of Statistical Planning and Inference

    1 publications · 28 citations

    1

    h-index

  5. Cluster Computing

    1 publications · 20 citations

    1

    h-index

1–5