A Design and Implementation of Migration Policy Based Workload Redistribution for Effective Scheduling of Multi-Cloud System 


Vol. 50,  No. 9, pp. 1433-1443, Sep.  2025
10.7840/kics.2025.50.9.1433


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  Abstract

In order to reduce costs in a multi-cloud environment, policy-based scheduling is required to give priority to specific clouds, such as private clouds over public clouds. However, scheduling is not possible when the available resources of the cloud, such as the private cloud, are insufficient, and separate workload reallocation, etc. must be performed by the operator. In this paper, we propose and implement a workload automatic migration controller that performs workload reallocation according to a predefined workload migration policy to enable scheduling to a preferred cloud in a multi-cloud environment. We verified that the utilization rate of preferred clouds such as private clouds is increased, and the scheduling rejection rate can be reduced compared to existing ones through application experiments by building an actual multi-cloud environment with the proposed function.

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[IEEE Style]

J. Yun and Y. Kim, "A Design and Implementation of Migration Policy Based Workload Redistribution for Effective Scheduling of Multi-Cloud System," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 9, pp. 1433-1443, 2025. DOI: 10.7840/kics.2025.50.9.1433.

[ACM Style]

Jihye Yun and Younghan Kim. 2025. A Design and Implementation of Migration Policy Based Workload Redistribution for Effective Scheduling of Multi-Cloud System. The Journal of Korean Institute of Communications and Information Sciences, 50, 9, (2025), 1433-1443. DOI: 10.7840/kics.2025.50.9.1433.

[KICS Style]

Jihye Yun and Younghan Kim, "A Design and Implementation of Migration Policy Based Workload Redistribution for Effective Scheduling of Multi-Cloud System," The Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 9, pp. 1433-1443, 9. 2025. (https://doi.org/10.7840/kics.2025.50.9.1433)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880