Volume 43 Issue 2
Apr.  2017
Article Contents

DUAN Lin-tao, GUO Bing, SHEN Yan, WANG Yi, ZHANG Wen-li, XIONG Wei. Analysis and Modeling of Android Application Energy Consumption[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(2): 272-277. doi: 10.3969/j.issn.1001-0548.2014.02.022
Citation: DUAN Lin-tao, GUO Bing, SHEN Yan, WANG Yi, ZHANG Wen-li, XIONG Wei. Analysis and Modeling of Android Application Energy Consumption[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(2): 272-277. doi: 10.3969/j.issn.1001-0548.2014.02.022

Analysis and Modeling of Android Application Energy Consumption

doi: 10.3969/j.issn.1001-0548.2014.02.022
  • Received Date: 2012-12-21
  • Rev Recd Date: 2013-11-22
  • Publish Date: 2014-04-15
  • Analysis and modeling of application energy consumption plays a vital role in the optimization of energy consumption of smart mobile devices. An application energy model based on application's running time is proposed. Compared with application's component energy models with high accuracy and complexity, the model is characterized by the time variable and contains a variety of mobile devices' properties, such as power consumption and performance, which can be used to rapidly estimate the mobile devices' energy consumption during application execution, and the execution time of the application is easy to measure and obtain. The experiment results show that the average error rate of proposed model is 0.89%, 1.37% and 0.29% compared with that measured by component energy model provided by Android application framework on GT-I9108, GT-I9308 and GT-P3108, respectively. The model can be used to help the end users to rapidly and conveniently predict the battery energy consumption of applications.
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通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Analysis and Modeling of Android Application Energy Consumption

doi: 10.3969/j.issn.1001-0548.2014.02.022

Abstract: Analysis and modeling of application energy consumption plays a vital role in the optimization of energy consumption of smart mobile devices. An application energy model based on application's running time is proposed. Compared with application's component energy models with high accuracy and complexity, the model is characterized by the time variable and contains a variety of mobile devices' properties, such as power consumption and performance, which can be used to rapidly estimate the mobile devices' energy consumption during application execution, and the execution time of the application is easy to measure and obtain. The experiment results show that the average error rate of proposed model is 0.89%, 1.37% and 0.29% compared with that measured by component energy model provided by Android application framework on GT-I9108, GT-I9308 and GT-P3108, respectively. The model can be used to help the end users to rapidly and conveniently predict the battery energy consumption of applications.

DUAN Lin-tao, GUO Bing, SHEN Yan, WANG Yi, ZHANG Wen-li, XIONG Wei. Analysis and Modeling of Android Application Energy Consumption[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(2): 272-277. doi: 10.3969/j.issn.1001-0548.2014.02.022
Citation: DUAN Lin-tao, GUO Bing, SHEN Yan, WANG Yi, ZHANG Wen-li, XIONG Wei. Analysis and Modeling of Android Application Energy Consumption[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(2): 272-277. doi: 10.3969/j.issn.1001-0548.2014.02.022

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