Advances, Systems and Applications
Table 5 Attributes of the dataset
From: Analysis and prediction of virtual machine boot time on virtualized computing environments
Attributes | Description |
|---|---|
eVM | the boot time of the experimental VM (eVM) is the prediction target |
wVM | the workload VM (wVM) runs a stress test to compete for computing resources |
\(c_{i,CPU}\) | The number of CPU cores available on host i |
\(\alpha _i\) | I/O and network latency time spent during the boot process of an eVM when there is no resource contention on the selected host i |
\(\beta _i\) | CPU time spent during the boot process of an eVM when there is no resource contention on the selected host i |
\(Q_i\) | The number of wVMs on host i |
\(R_i\) | The number of eVMs on host i |
ovm | The sum of the minimum values of \(R_j\) and \(c_{j, CPU}-1\) for all other hosts j |
\(ovm^{\prime }\) | The sum of the maximum values of 0 and \(R_j-c_{j, CPU}+1\) for all other hosts j |
\(boot\_time\) | Average VM boot time on host i |