Advances, Systems and Applications
From: An efficient population-based multi-objective task scheduling approach in fog computing systems
Evaluation metric | Statistics | Linear | Beta1 | Beta2 | Beta3 | Beta4 |
---|---|---|---|---|---|---|
Energy | Max | 502.15 | 504.37 | 484.95 | 485.05 | 514.8 |
 | Min | 383.84 | 413.63 | 407.31 | 412.51 | 421.54 |
 | Mean | 453.08 | 457.48 | 458.31 | 452.52 | 466.08 |
 | Median | 449.4 | 457.95 | 458.16 | 454.71 | 478.06 |
Time | Max | 81.3 | 80.07 | 75.23 | 74.73 | 74.72 |
 | Min | 47.02 | 47.73 | 44.96 | 45.07 | 50.95 |
 | Mean | 62.01 | 65.59 | 60.75 | 60.49 | 62.6 |
 | Median | 61.07 | 66.34 | 62.28 | 60.71 | 63.43 |
Time – Energy | Max | 328.26 | 315.33 | 303.52 | 321.92 | 316.23 |
 | Min | 250.68 | 252.55 | 265.21 | 258.88 | 241.04 |
 | Mean | 293.23 | 286.33 | 282.26 | 289.41 | 291.28 |
 | Median | 289.83 | 288.22 | 280.92 | 287.15 | 292.28 |