To address the issue of virtualized data centers misinterpreting short-term CPU fluctuations as sustained overload during host consolidation, leading to frequent migrations and CPU resource shortages, this study proposes a tiered net-energy-benefit strategy, Tiered Net-Energy-Benefit (Tiered-NEB). This strategy prioritizes temporary MIPS expansion and reclamation within the original host when short-term CPU pressure occurs. When the host experiences sustained low load, the system considers EMA trends, overall migration costs, future startup costs, and state cycle protection to determine whether consolidation should proceed. Based on Bitbrains fastStorage trajectories, this study compares static First-Fit packing, fixed-threshold consolidation, local regression predictive migration, and Tiered-NEB under conditions of 100 homogeneous hosts, 1200 virtual machines, and a continuous 24-hour workload. Results show that Tiered-NEB's host power consumption model has a cumulative energy consumption of 154.21 kWh, a reduction of 8.43% compared to static First-Fit; the CPU resource shortage incidence rate is 1.85%, with 128 completed migrations and 14 host state transition events. This strategy does not achieve the lowest single power consumption, but it can achieve a relatively stable balance between host operating power consumption, CPU resource supply and scheduling stability.

Zhu Xu. Dynamic Resource Allocation and Energy Optimization for Virtualized Data Center. International Journal of Big Data Intelligent Technology (2026), Vol. 7, Issue 2: 73-83. https://doi.org/10.38007/IJBDIT.2026.070208.

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