Research Article
A Hybrid Method for Short-Term Host Utilization Prediction in Cloud Computing
(1) | For each new component | (2) | Set the order of difference | (3) | Execute the augmented Dickey-Fuller (ADF) test. If it is a stationary time series, go to step 5; else, go to step 4 until it is stationary | (4) | Difference the time series and set , go to step 3 | (5) | Determine the order of the ARIMA model using Bayesian information criterion (BIC) | (6) | Estimate the parameters of the ARIMA model using the maximum likelihood | (7) | Forecast the future values of this new component using the ARIMA model | (8) | End | (9) | Obtain the overall prediction results by superposing the prediction results of each new component |
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