Advances, Systems and Applications
From: An efficient population-based multi-objective task scheduling approach in fog computing systems
Evaluation metric | Statistics | Chebyshev | Circle | Cubic | Gauss | Iterative | Logistic | Piecewise | Sine | Singer | Sinusoidal | Tent | No Chaos |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Energy | Max | 482.41 | 478.04 | 486.95 | 508.69 | 505.02 | 482.45 | 495.37 | 484.4 | 481.73 | 490.62 | 484.81 | 502.14 |
 | Min | 406.34 | 406.41 | 403.43 | 402.02 | 393.84 | 373.87 | 402.71 | 406.95 | 301.87 | 389.03 | 390.01 | 383.84 |
 | Mean | 442.69 | 449.83 | 451.01 | 462.3 | 454.78 | 442.55 | 452.13 | 440.58 | 437.02 | 440.43 | 442.63 | 453.07 |
 | Median | 443.7 | 448.62 | 450.81 | 457.02 | 452.55 | 447.64 | 456.14 | 438.3 | 449.24 | 437.93 | 446.14 | 449.4 |
Time | Max | 70.35 | 74.05 | 72.23 | 85.28 | 84.33 | 68.08 | 70.13 | 74.35 | 68.23 | 68.79 | 69.07 | 81.29 |
 | Min | 49.2 | 52.87 | 49.63 | 49.07 | 44.32 | 47.6 | 46.56 | 46.33 | 39.88 | 44.19 | 49.77 | 47.02 |
 | Mean | 60.39 | 63.09 | 60.35 | 66.97 | 66.2 | 59.51 | 60.98 | 61.25 | 59.06 | 57.46 | 58.76 | 62.1 |
 | Median | 61.24 | 61.48 | 58.93 | 64.48 | 65.65 | 60.85 | 62.53 | 60.39 | 60.29 | 58.2 | 58.51 | 61.07 |
Time – Energy | Max | 320.7 | 331.87 | 316.66 | 317.69 | 328.24 | 314.08 | 306.96 | 320.77 | 311.32 | 311.54 | 316.26 | 328.25 |
 | Min | 256.13 | 238.4 | 257.08 | 266.88 | 273.77 | 231.86 | 256.23 | 244.74 | 245.91 | 242.62 | 248.11 | 250.68 |
 | Mean | 283.03 | 286.28 | 282.8 | 296.14 | 295.26 | 282.1 | 284.8 | 288.49 | 282.63 | 274.38 | 286.73 | 293.23 |
 | Median | 283.06 | 285.69 | 278.54 | 298.03 | 293.63 | 278.79 | 284.72 | 291.91 | 288.64 | 276.44 | 292.96 | 289.83 |