Research Article
Dynamic Q-Learning-Based Optimized Load Balancing Technique in Cloud
Table 4
Performance results of dynamic Q-learning theory on RIN method with VM = range from 200 to 1200 tasks.
| Algorithm | Load balancing index | 200 tasks in number | 400 tasks in number | 600 tasks in number | 800 tasks in number | 1000 tasks in number | 1200 tasks in number |
| GA | 350.0 | 0.061 | 0.078 | 0.075 | 0.7845 | 0.7845 | DSOS | 352.1 | 0.052 | 0.065 | 0.062 | 0.7458 | 0.7654 | MSDE | 421.0 | 0.051 | 0.059 | 0.051 | 0.6589 | 0.7124 | PSO | 450.23 | 0.480 | 0.490 | 0.056 | 0.6235 | 0.6784 | WOA | 520.3 | 0.490 | 0.491 | 0.561 | 0.6221 | 0.6641 | MSA | 550.31 | 0.461 | 0.045 | 0.499 | 0.5784 | 0.6612 | DQL | 572.592 | 0.451 | 0.4386 | 0.495 | 0.5629 | 0.6521 |
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