Research Article
A Heuristic Task Scheduling Strategy for Intelligent Manufacturing in the Big Data-Driven Fog Computing Environment
Table 1
Simulation experiment parameters.
| Parameter | Value |
| Number of intelligent terminal devices | 200 | Number of fog nodes | 15 | The size of task data (Mb) | 1–10 | Maximum tolerance time for task | 1–3 s | Computing capacity of cloud server (Gcycles/s) | 10 | Computing capacity of cloud server (W) | 50 | Computing capacity of fog nodes (Mcycles/s) | 300–500 | Computational density of tasks (cycles/bit) | 300 | Transmission power of smart device (M) | 3–6 | Computational power of smart device (M) | 3–6 | Network bandwidth of smart device (M) | 150 | Fog node network bandwidth (M) | 120 | Cloud server network bandwidth (M) | 5 | Real-time intensity weight for tasks | 0.8 | Complex intensity weight for tasks | 0.3 | Crossover rate | 0.8 | Mutation rate | 0.1 | The maximum number of iterations | 150 | Number of species | 100 |
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