2690-6791ISSN (Online)
2769-786XISSN (Print)
Volume 15 , Issue 1 , PP: 175-184, 2025 | Cite this article as | XML | Html | PDF | Full Length Article
Omer K. Jasim Mohammad 1 *
Doi: https://doi.org/10.54216/JISIoT.150115
Resource provisioning is regarded as a crucial technology in the cloud-computing environment. Nonetheless, the primary challenge associated with the cloud involves ensuring resource availability while improving throughput, balancing loads, and optimizing execution time. There are two types of provisioning methodologies in a cloud environment: single-tier and multi-tier. This paper presents a novel method that combines hybrid metaheuristic optimization techniques, specifically Ant Colony Optimization (ACO) and Firefly Algorithm (FA), referred to as ACOF. This study presented an implementation of dynamic resource provisioning in a multi-tier cloud architecture. The results obtained from the proposed method demonstrate an enhancement in resource provisioning compared to other studies. Indeed, the ACOF algorithm demonstrates a reduced execution time for resource provisioning compared to alternative algorithms. Furthermore, ACOF algorithms have the potential to decrease implementation time by up to 13.2% in comparison to the execution time of alternative methods.
Cloud computing , Meta-heuristic algorithms , Resource provisioning , Throughput , Resource management , Execution time
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