Research Article
A Novel Resource Productivity Based on Granular Neural Network in Cloud Computing
Table 6
Proposed method compared to other algorithms.
| Situation | Compared to IQR | Compared to MAD | Compared to ATEA | Metrics |
| MMT | 7.8389 | −1.3986 | −2.3529 | | MC | 11.1368 | 10.0938 | 11.9540 | Energy consumption | RS | 19.4560 | 12.6984 | 13.8702 | | MMT | 21.8312 | 32.3923 | 15.0817 | | MC | 13.2591 | 30.7054 | 22.9316 | SLA | RS | 0.4256 | 13.6078 | −7.2919 | | MMT | 26.6675 | 33.4805 | 20.7185 | | MC | 17.3187 | 29.4088 | 29.9547 | Esv | RS | 20.4556 | 28.7686 | 7.9827 | | MMT | 0.4455 | 0.2342 | 0.2194 | | MC | 1.2556 | 0.8935 | 1.0294 | Makespan | RS | 0.3101 | 0.3763 | 0.2967 | |
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