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Figure shows that within 12 hours, the average energy consumption of the working virtual machines under the adjustment method proposed in this paper is much lower than that of the control method 1. Because the dynamic optimization method in this paper includes a mode transfer strategy based on energy protection, which transfers cold mode to a physical machine as much as possible, while the control method 1 that has all virtual machines in working state without considering energy savings consumes the most energy. The control method 2 is a traditional backup method that only considers a backup mode (cold mode) which is in sleep state, so that consumes less energy. It is calculated that the proposed strategy in this paper generates an average energy savings of 12.16% compared to the control method 1 and 10.15% compared to the control method 2. |
IEEE/ICACT20210156 Slide.12
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