Abstract
Cloud computing provides resources on shared basis but resources do get exhausted, as more and more resource-dependent tasks are being executed on the cloud. This eventually leads to distortion and one possible solution to overcome this problem is migration. In this paper, we perform VM migration in an energy-efficient manner for which we calculate the load factor on all the individual servers. If the load exceeds the assigned threshold value, then that server is considered as the overloaded host, after this the random selection of the VMs is done from the under-loaded hosts and then the machine with less migration time and more utilization will be migrated to the destination host. Further, we compare our purposed technique with already established techniques. The comparison results in the form of Migration Time, Utilization, and Energy Consumption shows that the proposed technique performs better than the existing one.
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Pathania, A., Kaur, K., Singh, P. (2020). Efficient VM Migration Policy in Cloud Computing Environment. In: Dutta, M., Krishna, C., Kumar, R., Kalra, M. (eds) Proceedings of International Conference on IoT Inclusive Life (ICIIL 2019), NITTTR Chandigarh, India. Lecture Notes in Networks and Systems, vol 116. Springer, Singapore. https://doi.org/10.1007/978-981-15-3020-3_36
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DOI: https://doi.org/10.1007/978-981-15-3020-3_36
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