Live Virtual Machine Migration Using Xen Server
Live VM migration is an indispensable part of the cloud for load balancing availability, resource management and reduced service disruption. Current migration techniques present a high memory demand, complex page patterns, varying workloads, and aggressive SLAs. We have designed an efficient live VM migration system including hybrid pre-copy and post-copy, workload prediction, and memory optimization. The transfer between pre-copy and post-copy migration can be switched in a dynamic manner depending on real time memory write type, and therefore service disruption and redundant retransmission will be reduced. To this end, we build an LSTM-based model to predict dirty page production and CPU consumption for proactive migration and adaptive phase switching according to the temporal restrictions of these two variables. It also uses clustering of the most modified pages in Lustre data access frequency to lower useless date transmission and speed up the migration. Experiments on a private cloud system under XenServer demonstrate that, as compared to other methods service disruption time is reduced by 55%, total migration time is increased by 25% and improvement of SLA satisfaction rate is recorded up to18%. This is, in a nutshell, an efficient, scalable and low-overhead approach for live migration of VMs over heterogeneous clouds by embracing predictive workload awareness through adaptive memory clustering.
@article{dave2026,
author = {Akashbhai Ashokbhai Dave and Jayna Donga and Jaykumar Vala},
title = {{Live Virtual Machine Migration Using Xen Server}},
journal = {Journal of Trends in Computer Science and Smart Technology},
volume = {8},
number = {1},
pages = {28-46},
year = {2026},
publisher = {IRO Journals},
doi = {10.36548/jtcsst.2026.1.002},
url = {https://doi.org/10.36548/jtcsst.2026.1.002}
}
Copy Citation
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