Volume 15 • Issue 1 • PP: 175-184 • 2025
New Keys for Cloud Resource Provisioning Optimization Method in Multi-Tier Style
Open Access & Copyright
© 2025 The Author(s). Published by ASPG. This article is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
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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.
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