Research Article
Multiobjective Level-Wise Scientific Workflow Optimization in IaaS Public Cloud Environment
Table 4
Convergence, diversity, and execution time for SPEA2 and NSGA−II.
| Workflow | Algorithm | Avg. Conv. (±σ) | Avg. Div. (±σ) | Avg. Exec. (sec) (±σ) |
| Epigenomics_24 | SPEA2 | 0.0240 (±0.0011) | 1.8554 (±0.0367) | 406.5189 (±14.9) | NSGA-II | 0.0294 (±0.0177) | 1.7936 (±0.0992) | 74.5451 (±6.5) | Montage_25 | SPEA2 | 0.0060 (±0.0039) | 1.0104 (±0.4130) | 372.7346 (±26.9) | NSGA-II | 0.0059 (±0.0005) | 1.2770 (±0.1713) | 68.5270 (±16.2) | CyberShake_30 | SPEA2 | 0.0094 (±0.0012) | 1.3485 (±0.0019) | 414.6732 (±11.0) | NSGA-II | 0.0079 (±0.0012) | 1.4026 (±0.0642) | 53.9493 (±1.8) | Epigenomics_46 | SPEA2 | 0.1661 (±0.2064) | 1.7670 (±0.0390) | 431.8035 (±30.5) | NSGA-II | 0.1118 (±0.0857) | 1.7152 (±0.0918) | 71.5525 (±5.5) | Montage_50 | SPEA2 | 0.0033 (±0.0040) | 1.4672 (±0.1394) | 366.6482 (±21.9) | NSGA-II | 0.0100 (±0.0031) | 1.2758 (±0.1414) | 63.8932 (±4.6) | CyberShake_50 | SPEA2 | 0.0209 (±0.0077) | 1.3629 (±0.1168) | 415.7871 (±17.6) | NSGA-II | 0.0224 (±0.0060) | 1.3372 (±0.9048) | 56.6219 (±3.5) | Epigenomics_100 | SPEA2 | 0.1005 (±0.0518) | 1.7229 (±0.0079) | 388.3032 (±13.0) | NSGA-II | 0.1423 (±0.1108) | 1.7188 (±0.0004) | 74.4787 (±6.3) | Montage_100 | SPEA2 | 0.0178 (±0.0140) | 1.1626 (±0.2073) | 375.2320 (±13.3) | NSGA-II | 0.0178 (±0.0055) | 1.2122 (±0.1533) | 71.6682 (±10.1) | CyberShake_100 | SPEA2 | 0.0731 (±0.0116) | 1.0607 (±0.0361) | 388.4410 (±10.4) | NSGA-II | 0.0721 (±0.0240) | 1.2178 (±0.0665) | 60.2484 (±5.0) | Epigenomics_997 | SPEA2 | 2.3735 (±1.7707) | 1.5694 (±0.0521) | 545.0587 (±16.3) | NSGA-II | 12.652 (±6.5924) | 1.5404 (±0.0777) | 225.4969 (±15.7) | Montage_1000 | SPEA2 | 0.0027 (±0.0044) | 1.5974 (±0.1057) | 546.3927 (±27.2) | NSGA-II | 0.0573 (±0.0188) | 1.6398 (±0.1235) | 216.1495 (±4.0) | CyberShake_1000 | SPEA2 | 0.2783 (±0.0532) | 1.1775 (±0.1606) | 522.4185 (±18.7) | NSGA-II | 0.3458 (±0.1087) | 1.3284 (±0.0589) | 170.0315 (±3.7) |
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