Table 2 Parameters used in evaluations.
From: Fault-tolerant and mobility-aware loading via Markov chain in mobile cloud computing
Genetic algorithm input parameters | |
The number of iterations of the genetic algorithm | 50–500 |
The number of repetitions | 10–100 |
Input parameters of the proposed method | |
Bandwidth | \(\:{10}^{3}\:-{10}^{5}\)(bytes per second) |
Input data | \(\:{10}^{3}\:-{10}^{6}\)(KB) |
Number of application commands | \(\:{10}^{2}\:-{10}^{7}\)(million orders) |
The speed of the central processing unit of the server | \(\:{10}^{6}\)(million commands per second) |
The speed of the central processing unit of the device | \(\:{10}^{4}\)(million commands per second) |
Stop time | 100–1000 (seconds) |
Definite probability | 0-100 |
Energy consumption rate when sending and receiving data | 0.7 (MW/s) |
Energy consumption rate assuming local implementation | 0.4 (MW/s) |
Time to return from outage | 0.5–10 (seconds) |
The number of repetitions of experiments | 1000 |
Confidence interval | 95% |
