Main Trend Extraction Based on Irregular Sampling Estimation and Its Application in Storage Volume of Internet Data Center
Joint Authors
Bei-bei, Miao
Dou, Chao
Xue-bo, Jin
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-20
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The storage volume of internet data center is one of the classical time series.
It is very valuable to predict the storage volume of a data center for the business value.
However, the storage volume series from a data center is always “dirty,” which contains the noise, missing data, and outliers, so it is necessary to extract the main trend of storage volume series for the future prediction processing.
In this paper, we propose an irregular sampling estimation method to extract the main trend of the time series, in which the Kalman filter is used to remove the “dirty” data; then the cubic spline interpolation and average method are used to reconstruct the main trend.
The developed method is applied in the storage volume series of internet data center.
The experiment results show that the developed method can estimate the main trend of storage volume series accurately and make great contribution to predict the future volume value.
American Psychological Association (APA)
Bei-bei, Miao& Dou, Chao& Xue-bo, Jin. 2016. Main Trend Extraction Based on Irregular Sampling Estimation and Its Application in Storage Volume of Internet Data Center. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1099817
Modern Language Association (MLA)
Bei-bei, Miao…[et al.]. Main Trend Extraction Based on Irregular Sampling Estimation and Its Application in Storage Volume of Internet Data Center. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1099817
American Medical Association (AMA)
Bei-bei, Miao& Dou, Chao& Xue-bo, Jin. Main Trend Extraction Based on Irregular Sampling Estimation and Its Application in Storage Volume of Internet Data Center. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1099817
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099817