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 | 510.06 | 509.23 | 511.9 | 498.18 | 514.31 | 493.91 | 502.92 | 502.42 | 492.55 | 519.93 | 511.47 | 502.14 |
 | Min | 386.96 | 380.17 | 392.38 | 424.6 | 407.76 | 321.38 | 396.5 | 417.73 | 411.97 | 425.55 | 398.06 | 383.84 |
 | Mean | 459.65 | 448.47 | 460.6 | 460.02 | 455.45 | 459.49 | 460.52 | 458.4 | 453.51 | 464.95 | 464.71 | 453.07 |
 | Median | 457.38 | 453.35 | 462.38 | 463.46 | 458.07 | 460.96 | 470.33 | 458.74 | 455.46 | 463.81 | 469.1 | 449.4 |
Time | Max | 85.9 | 68.72 | 86.31 | 79.24 | 84.6 | 81.01 | 79.06 | 78.59 | 74.4 | 93.38 | 75.28 | 81.29 |
 | Min | 48.53 | 47.61 | 54.44 | 49.76 | 51.93 | 48.27 | 50.11 | 47.63 | 42.06 | 49.61 | 50.14 | 47.02 |
 | Mean | 66.79 | 62.08 | 65.97 | 64.52 | 64.54 | 64.08 | 66.34 | 66.09 | 61.09 | 67.78 | 64.66 | 62.1 |
 | Median | 66.35 | 64.12 | 64.51 | 62.4 | 64.13 | 66.78 | 67.91 | 68.77 | 63.15 | 66.42 | 65.89 | 61.07 |
Time – Energy | Max | 320.87 | 319.92 | 324.16 | 322.13 | 327.1 | 317.75 | 322.5 | 318.69 | 325.55 | 321.24 | 322.17 | 328.25 |
 | Min | 260.07 | 255.78 | 245.8 | 258.96 | 255.31 | 240.15 | 257.41 | 255.94 | 264.26 | 265.66 | 268.85 | 250.68 |
 | Mean | 291.66 | 288.13 | 293.37 | 290.49 | 291.61 | 287.43 | 292.8 | 291.62 | 300.25 | 293.47 | 296.47 | 293.23 |
 | Median | 292.5 | 288.05 | 291.81 | 292.97 | 293.3 | 291.67 | 297.06 | 293.12 | 301.66 | 290.02 | 296.9 | 289.83 |