What the study found
The study reports that an enhanced dynamic grey wolf optimization (EDGWO) algorithm performed better than several comparison methods for cloud resource allocation and load balancing. It also found strong benchmark performance and improved results in a cloud simulation.
Why the authors say this matters
The authors conclude that EDGWO is effective and robust for performance-driven cloud resource management. The study suggests this matters because cloud resource allocation and load balancing become more difficult with dynamic workloads, which can lead to performance degradation and load imbalance.
What the researchers tested
The researchers proposed EDGWO, which combines a dynamic elite archive blending strategy to improve solution diversity and convergence with a stochastic Levy flight perturbation strategy to help avoid local optima, meaning solutions that appear good but are not the best overall. They evaluated it on the CEC2020 benchmark suite (F1–F10) and in CloudSim, a cloud simulation tool, to assess virtual machine (VM) load balance and utilization.
What worked and what didn't
On the CEC2020 benchmark suite, EDGWO achieved the best performance on 6 of the 10 test functions and the second-best performance on the remaining 4, based on best fitness, mean fitness, and standard deviation. In the CloudSim simulation, it outperformed GWO, PSO, GA, and ABC, with an average improvement of 25% in resource utilization and load balancing.
What to keep in mind
The abstract does not describe detailed limitations, and the reported evidence comes from benchmark tests and simulation rather than a real-world cloud deployment.
Key points
- EDGWO outperformed several comparison methods for cloud load balancing.
- It used dynamic elite archive blending and stochastic Levy flight perturbation.
- On CEC2020 F1–F10, it ranked best on 6 functions and second-best on 4.
- In CloudSim, it beat GWO, PSO, GA, and ABC.
- The abstract reports an average 25% improvement in resource utilization and load balancing.
Disclosure
- Research title:
- Enhanced grey wolf optimization improved cloud load balancing
- Authors:
- Bensille Bruce Aburinya, Mohammed Ibrahim Daabo, Callistus Ireneous Nakpih
- Institutions:
- Navrongo Health Research Centre
- Publication date:
- 2026-03-10
- OpenAlex record:
- View
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