With the rapid development of cloud computing, virtualization is widely used in data centers for resource management. However, traditional static threshold-based virtual machine migration strategies struggle to adapt to changing workloads. To address this, we propose a dynamic threshold-based strategy that monitors resource utilization to optimize migration timing and reduce costs. Simulation experiments on a real data center confirm the superior performance of our approach compared to static methods. This intelligent and efficient strategy enhances resource management, and energy efficiency in data centers.

Jin Yang. The Virtual Machine Migration Strategy Based on Dynamic Threshold. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 9: 132-137. https://doi.org/10.25236/AJCIS.2023.060920.

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