Advances, Systems and Applications
Table 2 Performance Assessment of Deep-ConvLSTM_FPO with Task Size 100
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 | 0.0275 | 0.0258 | 0.0226 | 0.0207 |
10 | 0.0365 | 0.0326 | 0.0308 | 0.0287 |
15 | 0.0375 | 0.0358 | 0.0326 | 0.0316 |
20 | 0.0355 | 0.0315 | 0.0287 | 0.0258 |
Response Time | ||||
5 | 277 | 275 | 272 | 270 |
10 | 269 | 265 | 262 | 260 |
15 | 263 | 260 | 258 | 254 |
20 | 262 | 259 | 256 | 253 |
Task Rejection Rate | ||||
5 | 0.1565 | 0.1477 | 0.1368 | 0.1257 |
10 | 0.1659 | 0.1579 | 0.1479 | 0.1379 |
15 | 0.1875 | 0.1755 | 0.1654 | 0.1579 |
20 | 0.1987 | 0.1868 | 0.1766 | 0.1654 |
Makespan | ||||
5 | 0.6368 | 0.6258 | 0.6079 | 0.5975 |
10 | 0.6146 | 0.6077 | 0.5877 | 0.5765 |
15 | 0.5968 | 0.5868 | 0.5654 | 0.5534 |
20 | 0.5789 | 0.5679 | 0.5468 | 0.5357 |