Advances, Systems and Applications
Table 5 Performance Assessment of Deep-ConvLSTM_FPO with Task Size 400
From: Task grouping and optimized deep learning based VM sizing for hosting containers as a service
Number of Iteration | Deep-ConvLSTM_FPO with Population Size 5 | Deep-ConvLSTM_FPO with Population Size 10 | Deep-ConvLSTM_FPO with Population Size 15 | Deep-ConvLSTM_FPO with Population Size 20 |
|---|---|---|---|---|
Resource Utilization | ||||
5 | 0.1279 | 0.1198 | 0.1165 | 0.1147 |
10 | 0.1325 | 0.1301 | 0.1287 | 0.1257 |
15 | 0.1479 | 0.1458 | 0.1425 | 0.1401 |
20 | 0.1488 | 0.1465 | 0.1436 | 0.1418 |
Response Time | ||||
5 | 634 | 630 | 627 | 624 |
10 | 697 | 694 | 691 | 688 |
15 | 619 | 617 | 615 | 612 |
20 | 693 | 690 | 688 | 683 |
Task Rejection Rate | ||||
5 | 0.3855 | 0.3755 | 0.3654 | 0.3579 |
10 | 0.3959 | 0.3865 | 0.3765 | 0.3666 |
15 | 0.4014 | 0.3977 | 0.3865 | 0.3765 |
20 | 0.4113 | 0.4077 | 0.3968 | 0.3865 |
Makespan | ||||
5 | 0.6257 | 0.6146 | 0.5976 | 0.5865 |
10 | 0.6579 | 0.6643 | 0.6543 | 0.6468 |
15 | 0.6977 | 0.6865 | 0.6757 | 0.6643 |
20 | 0.7157 | 0.7087 | 0.6977 | 0.6864 |