Advances, Systems and Applications
From: QoS prediction in intelligent edge computing based on feature learning
TP | Matrix density=5% | Matrix density=10% | Matrix density=15% | Matrix density=20% | ||||
---|---|---|---|---|---|---|---|---|
Methods | MAE | RMSE | MAE | RMSE | MAE | RMSE | MAE | RMSE |
UPCC | 29.4326 | 71.3528 | 22.3658 | 63.6902 | 20.8361 | 57.6302 | 18.1835 | 55.3903 |
IPCC | 28.7652 | 62.4814 | 23.8052 | 60.1082 | 22.3727 | 58.2644 | 21.2426 | 56.9312 |
UIPCC | 26.2808 | 60.8961 | 22.4295 | 54.7023 | 20.219 | 50.6028 | 18.9276 | 48.1629 |
DNM | 18.4903 | 63.2993 | 16.2861 | 55.0821 | 15.1406 | 49.394 | 14.7933 | 48.4284 |
LAFIL | 17.3753 | 55.46 | 14.692 | 48.552 | 13.7041 | 45.2544 | 12.8145 | 43.1456 |
MFAIN | 16.0053 | 47.1833 | 12.5607 | 43.0931 | 11.9322 | 41.4552 | 11.4106 | 40.1253 |
Gains | 7.90% | 14.90% | 14.50% | 11.20% | 12.90% | 8.40% | 11.00% | 7.00% |