An Optimized Method with Cost and Performance to Supporting Multi-Cloud Service Deployment 


Vol. 14,  No. 3, pp. 186-193, Mar.  2025
https://doi.org/10.3745/TKIPS.2025.14.3.186


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  Abstract

Multi-cloud is a technology that connects multiple cloud platforms to increase the stability of cloud service provision and ensure that cloud services are not dependent on the platform. To increase the stability of multi-cloud services, a multi-region strategy can be applied to deploy multiple virtual machines in various regions to utilize loose coupling between services. However, when individual functions of cloud services are distributed and operated, such as in a multi-region strategy, the cost of cloud services may increase and service performance may deteriorate due to different regional operational costs and virtual machine performance by region. Therefore, in this paper, we propose a method to determine the optimal placement location that satisfies the virtual machine operational cost and RTT (Round-Trip Time) requirements by applying NSGA-II (Non-dominated Sorting Genetic Algorithm-II), a genetic algorithm for multi-objective optimization. In addition, we conducted multi-objective optimization experiments on fourteen cloud regions operated by Google Cloud Platform and Amazon Web Service, which are actual cloud operating environments, by applying the proposed method. As a result of the experiment, it was confirmed that the execution time of the proposed multi-objective optimization algorithm was minimized to 1.53 seconds. The multi-objective optimization method presented in this paper is expected to be used as a base technology for virtual machine placement location decision-making to provide multi-cloud services.

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[IEEE Style]

J. Jeon, S. Jeong, J. Park, K. Yeom, "An Optimized Method with Cost and Performance to Supporting Multi-Cloud Service Deployment," The Transactions of the Korea Information Processing Society, vol. 14, no. 3, pp. 186-193, 2025. DOI: https://doi.org/10.3745/TKIPS.2025.14.3.186.

[ACM Style]

Jinhyeok Jeon, Sumin Jeong, Joonseok Park, and Keunhyuk Yeom. 2025. An Optimized Method with Cost and Performance to Supporting Multi-Cloud Service Deployment. The Transactions of the Korea Information Processing Society, 14, 3, (2025), 186-193. DOI: https://doi.org/10.3745/TKIPS.2025.14.3.186.

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