Optimizing Cloud VM Migration Through Federated Cloud Strategies: A Cost-Efficient Approach for Profitability Maximization

Authors

  • M. Vanitha, Pulluri Ashritha, Ridhi Ardeshna, Vallapuneni Akshara

Keywords:

Cloud computing, Virtual machine, VM cloud environment, Federated learning.

Abstract

Federated Cloud Strategies optimize resource consumption and scalability in cloud computing by connecting several cloud providers for seamless workload movement. VMware Motion and Microsoft Hyper-V allowed live VM migration in a single cloud environment, but they were limited to ecosystems, limiting scalability and performance improvement. New inter-cloud migration methodologies have
emerged to solve the challenges of flexible, scalable, and cost-effective solutions in federated cloud systems. Traditional systems were efficient in one cloud but had trouble transferring VMs between diverse clouds, resulting in high prices, performance bottlenecks, and poor resource allocation

References

S. Nathan, U. Bellur, and P. Kulkarni, “Towards a comprehensive performance model of virtual machine live migration,” in Proceedings of the Sixth ACM Symposium on Cloud Computing. ACM, 2015, pp. 288–301.

Aldhalaan and D. A. Menascé, “Analytic performance modelling and optimization of live vm migration,” in European Workshop on Performance Engineering. Springer, 2013, pp. 28–42.

F. Salfner, P. Tröger, and M. Richly, “Dependable estimation of downtime for virtual machine live migration,” Int. J. on Advances in Systems and Measurements, vol. 5, 2012.

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Published

2024-12-31

How to Cite

M. Vanitha, Pulluri Ashritha, Ridhi Ardeshna, Vallapuneni Akshara. (2024). Optimizing Cloud VM Migration Through Federated Cloud Strategies: A Cost-Efficient Approach for Profitability Maximization. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 1386–1398. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/1677

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