Research Article
An Energy-Saving Task Scheduling Model via Greedy Strategy under Cloud Environment
Table 3
Load balancing of different tasks.
| Algorithm | Tasks | Tasks | 100 | 200 | 300 | 400 | 500 | 1000 | 1250 | 1500 | 1750 | 2000 |
| Min-max-min | 0.8870 | 1.0112 | 1.1474 | 1.2725 | 1.4191 | 6.7664 | 7.3118 | 7.9606 | 9.7981 | 10.7014 | Min-max | 0.8825 | 1.0131 | 1.1504 | 1.2738 | 1.3978 | 6.7531 | 7.2962 | 7.8984 | 9.7751 | 10.6658 | SJF | 0.5579 | 0.9607 | 1.2821 | 1.1657 | 1.5770 | 4.4062 | 6.9543 | 7.1081 | 8.7733 | 10.1426 | FCFS | 0.82749 | 0.82749 | 1.0932 | 1.1884 | 1.2830 | 5.8229 | 6.4006 | 6.8467 | 8.4989 | 9.2735 | TWD-CTCG | 0.87934 | 0.65183 | 0.7146 | 0.9415 | 0.9281 | 4.3969 | 5.1152 | 5.4756 | 6.2591 | 6.8133 |
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