Fig 1.
Edge-cloud collaborative processing framework.
Fig 2.
Architecture of the edge-cloud collaborative IoT data processing system.
Fig 3.
Overall flow of the NAG algorithm.
Fig 4.
Overall process of the CDAG algorithm.
Table 1.
Parameter setting.
Fig 5.
Results of searching performance of different algorithm models on the Sphere function and Griewank function.
Fig 6.
Results of searching performance of different algorithm models on the Rosenbrock function, Ackley function, and Rastrigin function.
Note: Fig 6-A shows the results on Rosenbrock function; Fig 6-B represents results on Ackley function; Fig 6-C is presents results on Rastrigin function.
Fig 7.
Results of searching performance of the improved NAG algorithm on Sphere function and Griewank function.
Note: Fig 7-A represents the results on Sphere function; Fig 7-B represents the results on Griewank function.
Fig 8.
Results of searching performance of the improved NAG algorithm on Rosenbrock function, Ackley function, and Rastrigin function.
Note: Fig 8-A represents the results on Rosenbrock function; Fig 8-B represents the results on Ackley function; Fig 8-C represents the results on Rastrigin function.
Fig 9.
Comparison of stimulation results of different models.
Note: Fig A-C represent the comparison of different models in economic cost, load balancing and completion time.
Fig 10.
Delay performance under different schemes.
Note: Fig 10-A gives the communication delay performance of models under different scheduling; Fig 10-B represents the calculation delay performance of models under different scheduling; Fig 10-C provides the standardized communication delay under different pressures.
Fig 11.
Effect analysis of the IoT analysis platform via edge-cloud collaboration.
Note: Fig 11-A is the comparison of time-consuming between the cloud platform and edge-cloud collaborative platform. Fig 11-B shows the comparison of time-consuming between the cloud platform and edge-cloud collaborative platform in the case of 20 rules of single device. Fig 11-C represents the comparison of time-consuming between the cloud platform and edge-cloud collaborative platform in the case of large resource load. Fig D is the experimental results of bandwidth occupation.
Fig 12.
Performance of different models in different data sets.
Note: Fig 12-A shows the reliability test results of the scales of different dimensions, and Fig 12-B indicates the reliability test results of the actual indicators.
Fig 13.
Fitting analysis results of the model performance in different data sets.
Note: Fig 13-A represents the fitting indexes of CFA of career planning; Fig 13-B shows the fitting indexes of CFA of organizational support; Fig 13-C indicates the fitting indexes of CFA of career maturity; Fig 13-D shows the fitting indexes of CFA of the overall scale model.
Table 2.
Descriptive statistical analysis results of each variable.
Table 3.
Correlation statistical anWEalysis results of each variable.