TABLE 2.
Parameter settings.
| Notation | Description |
|---|---|
| T = 100 | Total time slots |
| E = {60, 70, 80, 90, 100} | The total number of VMs of the edge node |
| The normal distribution of the number of VMs requested by the user | |
| The normal distribution of the computing duration requested by the user | |
| p e = 0.03 | Standby cost of one VM in the edge node |
| p f = 0.2 | Computing cost of one VM in the edge node |
| p c ∼ U (1, 5) | The uniform distribution of the computing cost of private cloud |
| p od = 3.0 | Unit price of on-demand instance in public cloud |
| p upfront = 800 | Customization price of reserved instances in public cloud |
| p re = 1.5 | Unit price of reserved instance in public cloud |
| T r = 20 | Reserved duration of reserved instance in public cloud |
| p t ∼ N (1.5, 1) | Normal distribution of unit price of spot instance |
| T m = 6 | Maximum service duration of spot instance |
| γ = 0.99 | Discount factor |
| τ = 0.001 | Soft update parameters of target network |
| α 1 = 0.0001 | Learning rate of Actor |
| α 2 = 0.00001 | Learning rate of Critic |
| p = 100,000 | Size of experience pool |
| m = 128 | Size of the batch sample in the experience pool |