Considering the widespread use of mobile devices and the increased performance requirements of mobile users, shifting the complex\ncomputing and storage requirements of mobile terminals to the cloud is an effective way to solve the limitation of mobile terminals,\nwhich has led to the rapid development of mobile cloud computing. How to reduce and balance the energy consumption of mobile\nterminals and clouds in data transmission, as well as improve energy efficiency and user experience, is one of the problems that green\ncloud computing needs to solve. This paper focuses on energy optimization in the data transmission process of mobile cloud\ncomputing. Considering that the data generation rate is variable, because of the instability of the wireless connection, combined with\nthe transmission delay requirement, a strategy based on the optimal stopping theory to minimize the average transmission energy of\nthe unit data is proposed. By constructing a data transmission queue model with multiple applications, an admission rule that is\nsuperior to the top candidates is proposed by using secretary problem of selecting candidates with the lowest average absolute\nranking. Then, it is proved that the rule has the best candidate. Finally, experimental results show that the proposed optimization\nstrategy has lower average energy per unit of data, higher energy efficiency, and better average scheduling period.
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