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A Data Transmission Strategy with Energy Minimization Based on Optimal Stopping Theory in Mobile Cloud Computing
Joint Authors
Wang, Gaocai
Lu, Yuting
Zheng, Xin
Nan, Yu
Wang, Fangsu
Song, Ruiqing
Zheng, Gang
Zhao, Qifei
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-21
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Considering the widespread use of mobile devices and the increased performance requirements of mobile users, shifting the complex computing and storage requirements of mobile terminals to the cloud is an effective way to solve the limitation of mobile terminals, which has led to the rapid development of mobile cloud computing.
How to reduce and balance the energy consumption of mobile terminals and clouds in data transmission, as well as improve energy efficiency and user experience, is one of the problems that green cloud computing needs to solve.
This paper focuses on energy optimization in the data transmission process of mobile cloud computing.
Considering that the data generation rate is variable, because of the instability of the wireless connection, combined with the transmission delay requirement, a strategy based on the optimal stopping theory to minimize the average transmission energy of the unit data is proposed.
By constructing a data transmission queue model with multiple applications, an admission rule that is superior to the top candidates is proposed by using secretary problem of selecting candidates with the lowest average absolute ranking.
Then, it is proved that the rule has the best candidate.
Finally, experimental results show that the proposed optimization strategy has lower average energy per unit of data, higher energy efficiency, and better average scheduling period.
American Psychological Association (APA)
Zheng, Xin& Nan, Yu& Wang, Fangsu& Song, Ruiqing& Zheng, Gang& Wang, Gaocai…[et al.]. 2019. A Data Transmission Strategy with Energy Minimization Based on Optimal Stopping Theory in Mobile Cloud Computing. Wireless Communications and Mobile Computing،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1211981
Modern Language Association (MLA)
Zheng, Xin…[et al.]. A Data Transmission Strategy with Energy Minimization Based on Optimal Stopping Theory in Mobile Cloud Computing. Wireless Communications and Mobile Computing No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1211981
American Medical Association (AMA)
Zheng, Xin& Nan, Yu& Wang, Fangsu& Song, Ruiqing& Zheng, Gang& Wang, Gaocai…[et al.]. A Data Transmission Strategy with Energy Minimization Based on Optimal Stopping Theory in Mobile Cloud Computing. Wireless Communications and Mobile Computing. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1211981
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1211981