A Novel Resource Deployment Approach to Mobile Microlearning: From Energy-Saving Perspective
Joint Authors
Wu, Qingtao
Zheng, Ruijuan
Zhang, Mingchuan
Zhu, Junlong
Liu, Ruoshui
Yang, Li
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-01-23
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Information Technology and Computer Science
Abstract EN
Mobile Microlearning, a novel fusion form of the mobile Internet, cloud computing, and microlearning, becomes more prevalent in recent years.
However, its high deployment and operational costs make energy saving in cloud become a concerning issue.
In this paper, to save energy consumption, a resource deployment approach to cloud service provision for Mobile Microlearning is proposed.
Chinese Lexical Analysis System and Dynamic Term Frequency-Inverse Document Frequency (D-TF-IDF) are adopted to implement resource classification.
Resources are deployed to the 2-tier cloud architecture according to the classification results.
Grey Wolf Optimization (GWO) algorithm is used to forecast real-time energy consumption per byte.
The simulation results show that, compared to traditional algorithm, the classification accuracy of small sample categories was significantly improved; the forecast energy consumption value and the standard values are 7.67% in private cloud and 2.93% in public cloud; the energy saving reaches 2.22% to 16.23% in 3G and 7.35% to 20.74% in Wi-Fi.
American Psychological Association (APA)
Zheng, Ruijuan& Zhu, Junlong& Zhang, Mingchuan& Liu, Ruoshui& Wu, Qingtao& Yang, Li. 2019. A Novel Resource Deployment Approach to Mobile Microlearning: From Energy-Saving Perspective. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1212252
Modern Language Association (MLA)
Zheng, Ruijuan…[et al.]. A Novel Resource Deployment Approach to Mobile Microlearning: From Energy-Saving Perspective. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1212252
American Medical Association (AMA)
Zheng, Ruijuan& Zhu, Junlong& Zhang, Mingchuan& Liu, Ruoshui& Wu, Qingtao& Yang, Li. A Novel Resource Deployment Approach to Mobile Microlearning: From Energy-Saving Perspective. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1212252
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1212252