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Advances, Systems and Applications

Journal of Cloud Computing Cover Image

Table 2 Summary of different forecasting models

From: Efficient resource provisioning for elastic Cloud services based on machine learning techniques

Forecasting Model Method Parameters
#1 Last Value  
#2 Moving Average MA(3)
#3 Linear Regression AR(24)
#4 SVM - Polynomial Kernel C=1.9, ε=0.027, p=1
#5 SVM - Normal. Polyn. Kernel C=1.9, ε=0.027, p=2
#6 SVM - RBF Kernel C=1.9, ε = 0.027, γ=0.2
#7 SVM - RBF Kernel C=1.9, ε = 0.027, γ=0.6
#8 SVM - RBF Kernel C=1.9, ε = 0.027, γ=1.0