Research Article
Differential Grey Wolf Load-Balanced Stochastic Bellman Deep Reinforced Resource Allocation in Fog Environment
Table 7
Summary of results DGW-SBDR.
| | 
 |  | Number of tasks | Load balancing efficiency (%) | Latency (ms) | Makespan (ms) | Energy consumption (J) |  | DGW-SBDR |  | 
 |  | 5000 | 97.7 | 5250 | 12.5 | 25 |  | 10000 | 96.35 | 5535 | 14.35 | 30 |  | 15000 | 95.85 | 5815 | 16.15 | 30 |  | 20000 | 94.25 | 6025 | 18.25 | 35 |  | 25000 | 94.15 | 6135 | 21 | 40 |  | 30000 | 93.85 | 6245 | 23.55 | 40 |  | 35000 | 92.15 | 6535 | 25.25 | 45 |  | 40000 | 91.35 | 6915 | 28.15 | 50 |  | 45000 | 91 | 7025 | 30.45 | 55 |  | 50000 | 90.25 | 7345 | 33.25 | 55 |  | 
 |  | Result | Efficiency increased | Latency reduced | Time consumed in scheduling optimal manner | Energy consumption minimum |  | 
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