Research Article
Virtual Machine Replica Placement Using a Multiobjective Genetic Algorithm
Table 9
The ANOVA test regarding utilization of first-fit, next-fit, best-fit, PSO, NSGA-III, and MOEA/D algorithms.
| | Source of variation | SS | df | MS | F | Sig. | F crit |
| Number of PMs | Between groups | 4015382.74 | 5 | 803076.55 | 19.50 | 2.18915E − 05 | 3.11 | Within groups | 494128.83 | 12 | 41177.40 | | | | Total | 4509511.57 | 17 | | | | |
| Distance | Between groups | 44173994.44 | 5 | 8834798.89 | 1.48 | 0.266183005 | 3.11 | Within groups | 71496377.67 | 12 | 5958031.47 | | | | Total | 115670372.11 | 17 | | | | |
| Performance degrading | Between groups | 791787.28 | 5 | 158357.46 | 36.67 | 7.26942E − 07 | 3.11 | Within groups | 51827.67 | 12 | 4318.97 | | | | Total | 843614.94 | 17 | | | | |
| Fitness values | Between groups | 1240.29 | 5 | 248.06 | 36.70 | 7.23549E − 07 | 3.11 | Within groups | 81.12 | 12 | 6.76 | | | | Total | 1321.40 | 17 | | | | |
|
|