Advances, Systems and Applications
From: QoS prediction in intelligent edge computing based on feature learning
RT | Matrix density=5% | Matrix density=10% | Matrix density=15% | Matrix density=20% | ||||
---|---|---|---|---|---|---|---|---|
Methods | MAE | RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE |
UPCC | 0.7934 | 1.6724 | 0.6787 | 1.6278 | 0.6114 | 1.6038 | 0.5975 | 1.5302 |
IPCC | 0.8551 | 1.4988 | 0.7091 | 1.4732 | 0.6515 | 1.4548 | 0.6351 | 1.4481 |
UIPCC | 0.7354 | 1.4879 | 0.6234 | 1.4502 | 0.5669 | 1.4367 | 0.538 | 1.4272 |
DNM | 0.4125 | 1.3463 | 0.3726 | 1.2673 | 0.3678 | 1.249 | 0.3575 | 1.2298 |
LAFIL | 0.3968 | 1.3234 | 0.374 | 1.2808 | 0.3475 | 1.2279 | 0.3321 | 1.2146 |
MFAIN | 0.3557 | 1.1909 | 0.3202 | 1.1238 | 0.3114 | 1.0904 | 0.3012 | 1.0629 |
Gains | 10.40% | 10.00% | 14.10% | 11.30% | 10.40% | 11.20% | 9.30% | 12.50% |