標題: Calibrating parameters and formulas for process-level energy consumption profiling in smartphones
作者: Lin, Ying-Dar
Rattagan, Ekarat
Lai, Yuan-Cheng
Chang, Li-Pin
Yo, Yun-Chien
Ho, Cheng-Yuan
Chang, Shun-Lee
資訊工程學系
Department of Computer Science
關鍵字: Energy profiling;Energy estimation calibration;Embedded system;Android
公開日期: 1-Sep-2014
摘要: Battery-powered mobile devices substantially constrain energy resources. Process-level energy profiling tools can identify the most energy-consuming process and detail the energy usage of hardware components. With the help of energy profiling tools, programmers can fine-tune the energy consumption of processes to extend battery lifetime. However, profiling tools are highly dependent on hardware and must be calibrated for each hardware platform. Furthermore, for any new hardware components, new energy estimation formulas must be created. To solve these two problems regarding off-the-shelf products, this work proposes a two-phase calibrating approach. The first phase reconstructs the power table with a power meter, while the second creates new energy estimation formulas using linear regression analysis. The accuracy of the calibrated tool was evaluated in five scenarios and its error ratio is proven to be below 10%, occasionally less than 5%. Hence, this proposed approach to energy consumption profiling represents a major step in off-the-shelf devices. (C) 2014 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.jnca.2014.04.014
http://hdl.handle.net/11536/25031
ISSN: 1084-8045
DOI: 10.1016/j.jnca.2014.04.014
期刊: JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
Volume: 44
Issue: 
起始頁: 106
結束頁: 119
Appears in Collections:Articles


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