Advances, Systems and Applications
From: Proactive dynamic virtual-machine consolidation for energy conservation in cloud data centres
 | Techniques | References | Parameter | Clustering | User behavior | Window size | |
---|---|---|---|---|---|---|---|
VM | PM | ||||||
Statistical | ARIMA | √ |  |  |  | Fixed | |
[57] |  | √ |  |  | Fixed | ||
GFM | [94] |  | √ |  |  | Fixed | |
HMM | [101] | √ |  | co-clustering |  | Fixed | |
Bays Model | [54] |  | √ |  | √ | Owin=1/2 Pwin | |
Multi-Way Data Analysis | [99] | √ |  | FCM | √ | Fixed | |
Hybrid | AR Model, ESM, WNN, DWNN | [35] |  | √ |  |  | Owin=2 Pwin |
ECNN and LR | [85] |  | √ |  |  | Fixed | |
Ensemble Model based FNN | [39] |  | √ | FCM/subtractive |  | Fixed | |
Static and adaptive Winner Filter | [44] | √ |  | k-means |  | Fixed/overlapped | |
ML | SVM, NN, and LR | [7] |  | √ |  |  | Fixed |
GA to optimize Elman NN | [179] |  | √ | Kernal FCM |  | Fixed/overlapped | |
NN and Fuzzy expert | [144] | √ |  |  |  | Fixed | |
ELM | [89] | √ |  | k-mean | √ | Fixed/overlapped | |
Multivariate ELM | [90] | √ |  | FCM | √ | Fixed |