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Advances, Systems and Applications

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Fig. 5 | Journal of Cloud Computing

Fig. 5

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

Fig. 5

Predicted server loads obtained with different forecasting models (#1 to #8). This figure shows the prediction results for the 24 h test interval using the various forecasting models (#1 to #8) compared to the real values of the average server load for the same hours. The bar errors of the different graphs represent the expected error (RMSE) of the model. This is computed as the error between the estimated data obtained by the forecasting model for the training period and the real training data of the time series

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