Iza A. A. Bahar and Azali Saudi and Abdul Kadir and Syed Nasirin Syed Zainol Abidin and Tamrin Amboala and Esmadi Abu Bin Abu and Abdullah B. Mohd. Tahir and Suddin Lada (2024) Task scheduling in cloud computing using Harris-Hawk Optimization.
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Abstract
This paper presents a simulation of the Harris-Hawk Optimization (HHO) algorithm, which aims to minimize the makes pan of a specified task set in a cloud computing environment. The algorithm is inspired by the team association of hawks in hunting and escaping prey. It has gained significant attention from researchers due to its effectiveness in solving real world problems across different applications. As a result, the HHO algorithm has been widely applied to various optimization problems. In this study, the proposed HHO algorithm is simulated and compared with other well-known swarm intelligence algorithms, including Bat Algorithm (BA), Grey Wolf Optimization (GWO), and Particle Swarm Optimization (PSO). The simulation results demonstrate that the HHO algorithm surpasses the other three in producing better results. Furthermore, given the HHO algorithm's reliability in solving single-objective problems, this study further validates its effectiveness in addressing various optimization concerns.
| Item Type: | Proceedings |
|---|---|
| Keyword: | Task scheduling, BA, GWO, PSO, HHO, Cloud computing |
| Subjects: | Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science > QA76.75-76.765 Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television |
| Department: | FACULTY > Faculty of Computing and Informatics |
| Depositing User: | JUNAINE JASNI - |
| Date Deposited: | 08 Aug 2025 16:09 |
| Last Modified: | 08 Aug 2025 16:09 |
| URI: | https://eprints.ums.edu.my/id/eprint/44796 |
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