Research Article
An Energy-Saving Task Scheduling Model via Greedy Strategy under Cloud Environment
Table 4
Load balancing of different hosts.
| Algorithm | Hosts | Hosts | 10 | 20 | 30 | 40 | 50 | 100 | 150 | 200 | 250 | 300 |
| Min-max-min | 0.1765 | 0.6612 | 0.8228 | 0.9036 | 0.9521 | 3.4848 | 9.3179 | 12.2344 | 13.9844 | 15.1510 | Min-max | 0.1732 | 0.6566 | 0.8178 | 0.8984 | 0.9467 | 3.4799 | 9.3116 | 12.2274 | 13.9769 | 15.1433 | SJF | 0.1159 | 0.4517 | 0.5637 | 0.6197 | 0.6533 | 3.0106 | 8.1553 | 10.7277 | 12.2711 | 13.3000 | FCFS | 0.1401 | 0.5450 | 0.6799 | 0.7474 | 0.7879 | 2.9456 | 7.9664 | 10.4768 | 11.9830 | 12.9872 | TWD-CTCG | 0.1174 | 0.3844 | 0.4747 | 0.5288 | 0.5472 | 2.2380 | 5.4686 | 7.0559 | 8.0396 | 8.6618 |
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