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For a data center, it is very valuable to predict its storage volume value. According to the trend of current and previous storage volume data, we can predict its future value. However, the real storage volume series is always "dirty", which means it contains noise, missing data and outliers. Hence extracting its main trend is necessary for making an accurate prediction. Otherwise, the "dirty"...
For the practical big time series data, it is the important step to eliminate the noise and get the dynamic information of the time series data. For the series data, the extraction model and the transform model are given in this paper, and the sampling interval of the models is discussed to guarantee the estimated system convergence. The dynamic information is analyzed according to the estimated dynamic...
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