Multi-objective Load Balancing

Multi-Objective Load Balancing is a load balancing strategy that simultaneously optimizes multiple conflicting objectives—such as response time, resource utilization, energy efficiency, and fault tolerance—by employing trade-off mechanisms to achieve balanced performance across interconnected computing resources.

67

Publications

2.4K

Citations

204

Authors

89

Institutions

Publications per year

2017–2026

39

Authors

204

  1. ZP
    Zhiwen Pan

    Southeast University, China

    4 publications · 94 citations

    4

    h-index

  2. XY
    Xiaohu You

    Southeast University, China

    4 publications · 94 citations

    4

    h-index

  3. NL
    Nan Liu

    Southeast University, China

    3 publications · 61 citations

    3

    h-index

  4. QC
    Qianbin Chen

    Chongqing University of Posts and Telecommunications, China

    2 publications · 34 citations

    2

    h-index

  5. AG
    Arezoo Ghasemi

    Qazvin Islamic Azad University, Iran

    2 publications · 163 citations

    2

    h-index

1–5 of 204

Venues

  1. Wireless Personal Communications

    3 publications · 47 citations

    3

    h-index

  2. Cluster Computing

    3 publications · 200 citations

    3

    h-index

  3. Applied Soft Computing

    3 publications · 181 citations

    3

    h-index

  4. Neurocomputing

    2 publications · 161 citations

    2

    h-index

  5. IEEE Access

    2 publications · 34 citations

    2

    h-index

1–5