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A Prediction Approach for Video Hits in Mobile Edge Computing Environment
Joint Authors
Liu, Xiulei
Hou, Shoulu
Tong, Qiang
Liu, Xuhong
Qin, Zhihui
Yu, Junyang
Source
Security and Communication Networks
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-17
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Information Technology and Computer Science
Abstract EN
Smart device users spend most of the fragmentation time in the entertainment applications such as videos and films.
The migration and reconstruction of video copies can improve the storage efficiency in distributed mobile edge computing, and the prediction of video hits is the premise for migrating video copies.
This paper proposes a new prediction approach for video hits based on the combination of correlation analysis and wavelet neural network (WNN).
This is achieved by establishing a video index quantification system and analyzing the correlation between the video to be predicted and already online videos.
Then, the similar videos are selected as the influencing factors of video hits.
Compared with the autoregressive integrated moving average (ARIMA) and gray prediction, the proposed approach has a higher prediction accuracy and a broader application scope.
American Psychological Association (APA)
Liu, Xiulei& Hou, Shoulu& Tong, Qiang& Liu, Xuhong& Qin, Zhihui& Yu, Junyang. 2020. A Prediction Approach for Video Hits in Mobile Edge Computing Environment. Security and Communication Networks،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1208760
Modern Language Association (MLA)
Liu, Xiulei…[et al.]. A Prediction Approach for Video Hits in Mobile Edge Computing Environment. Security and Communication Networks No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1208760
American Medical Association (AMA)
Liu, Xiulei& Hou, Shoulu& Tong, Qiang& Liu, Xuhong& Qin, Zhihui& Yu, Junyang. A Prediction Approach for Video Hits in Mobile Edge Computing Environment. Security and Communication Networks. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1208760
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208760