A multi-objective approach to load balancing in cloud environments integrating ACO and WWO techniques
Abstract Effective load balancing and resource allocation are essential in dynamic cloud computing environments, where the demand for rapidity and continuous service is perpetually increasing. This paper introduces an innovative hybrid optimisation method that combines water wave optimization (WWO)...
Saved in:
| Main Authors: | Umesh Kumar Lilhore, Sarita Simaiya, Yogendra Narayan Prajapati, Anjani Kumar Rai, Ehab Seif Ghith, Mehdi Tlija, Tarik Lamoudan, Abdelaziz A. Abdelhamid |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-96364-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hybrid DRL-Enhanced ACO-WWO for Efficient Resource Allocation and Load-Balancing in Cloud Computing
by: Umesh Kumar Lilhore, et al.
Published: (2025-06-01) -
Investigating the Two Optimization Algorithms (GWO and ACO) Coupling with Radial Basis Neural Network to Estimate the Pile Settlement
by: Ehsanolah Assareh, et al.
Published: (2023-03-01) -
Assessment of energy management and power quality improvement of hydrogen based microgrid system through novel PSO-MWWO technique
by: Hafiz Ghulam Murtza Qamar, et al.
Published: (2025-01-01) -
HDL-ACO hybrid deep learning and ant colony optimization for ocular optical coherence tomography image classification
by: Shivani Agarwal, et al.
Published: (2025-02-01) -
Cloud-edge hybrid deep learning framework for scalable IoT resource optimization
by: Umesh Kumar Lilhore, et al.
Published: (2025-02-01)