Energy-Efficiency for Smartphones Using Interaction Link Prediction in Mobile Cloud Computing

2018 ◽  
pp. 517-526
Author(s):  
Jiuyun Xu ◽  
Chao Guan ◽  
Xiangrui Xu
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Link Prediction ◽  
Mobile Cloud Computing ◽  
Mobile Cloud

scholarly journals A Data Transmission Strategy with Energy Minimization Based on Optimal Stopping Theory in Mobile Cloud Computing

2019 ◽  
Vol 2019 ◽  
pp. 1-11
Author(s):  
Xin Zheng ◽  
Yu Nan ◽  
Fangsu Wang ◽  
Ruiqing Song ◽  
Gang Zheng ◽  
...  
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Optimal Stopping ◽  
Data Transmission ◽  
Mobile Cloud Computing ◽  
Rapid Development ◽  
Average Energy ◽  
Mobile Cloud ◽  
Mobile Terminals ◽  
Optimal Stopping Theory

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.

scholarly journals Competitive Partial Computation Offloading for Maximizing Energy Efficiency in Mobile Cloud Computing

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 899-912 ◽  
Author(s):  
Sanghong Ahn ◽  
Joohyung Lee ◽  
Sangdon Park ◽  
S. H. Shah Newaz ◽  
Jun Kyun Choi
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Mobile Cloud Computing ◽  
Computation Offloading ◽  
Mobile Cloud

Modeling and Managing Energy Efficiency Data Center by a Live Migration Mechanism in Mobile Cloud Computing Environments

2012 ◽  
Vol 10 (8) ◽  
pp. 1855-1861
Author(s):  
Dawei Sun ◽  
Guiran Chang ◽  
Dongqi Wang ◽  
Dong Chen ◽  
Xingwei Wang
Keyword(s):  
Energy Efficiency ◽  
Cloud Computing ◽  
Data Center ◽  
Mobile Cloud Computing ◽  
Mobile Cloud ◽  
Live Migration ◽  
Migration Mechanism ◽  
Computing Environments ◽  
Efficiency Data
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