Research Article
Virtual Machine Placement Algorithm for Both Energy-Awareness and SLA Violation Reduction in Cloud Data Centers
Table 4
The comparison of the energy-saving algorithms.
| | Algorithm | Energy efficiency
(KWh) | Energy consumption
() | SLA
violations | SLATAH
(%) | PDM
(%) | Number of
VM migrations |
| | NPA | — | 2410.8 | — | — | — | — | | DVFS | — | 803.91 | — | — | — | — | | THR-MMT-1.0 | 38 | 99.95 | 2613 | 26.97 | 0.10 | 19852 | | THR-MMT-0.8 | 170 | 119.40 | 492 | 4.99 | 0.10 | 26567 | | MAD-MMT-2.5 | 169 | 114.27 | 518 | 5.24 | 0.10 | 25923 | | IQR-MMT-1.5 | 166 | 117.08 | 514 | 5.08 | 0.10 | 26420 | | MIMT (0–40%–80%) | 5420 | 108.53 | 17 | 2.86 | 0.01 | 8418 | | MIMT (5%–45%–85%) | 4949 | 112.26 | 18 | 3.22 | 0.01 | 8687 | | KAM-MMS-2.0 | 9231 | 83.33 | 13 | 1.73 | 0.01 | 6808 | | KAI-MMS-1.0 | 6393 | 104.28 | 15 | 2.03 | 0.01 | 7519 |
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