Constructing an Accurate and a High-Performance Power Profiler for Embedded Systems and Smartphones

被引:2
|
作者
Djedidi, Oussama [1 ]
Djeziri, Mohand A. [1 ]
M'Sirdi, Nacer K. [1 ]
Naamane, Aziz [1 ]
机构
[1] Univ Toulon & Var, Aix Marseille Univ, CNRS, LIS,SASV, Marseille, France
来源
MSWIM'18: PROCEEDINGS OF THE 21ST ACM INTERNATIONAL CONFERENCE ON MODELING, ANALYSIS AND SIMULATION OF WIRELESS AND MOBILE SYSTEMS | 2018年
关键词
Data fitting; Embedded Systems; Modeling; NARX neural Networks; Power Consumption; Smartphone; MOBILE;
D O I
10.1145/3242102.3242139
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The main objective of this paper is to present a new accurate power profiler for embedded systems and smartphones. The second objective is, for it, to be a tutorial explaining the main steps to build power profilers for embedded and mobile systems, in general. We start our work by firstly describing the general methodology of building a power profiler. Then, we showcase how each step is undertaken to build a profiler with two power models. The first one was an artificial neural network (called N-2) that presented a lot of noise in its estimation. After debugging and improvement, the second model, a NARX neural network (we call N-3) was built. It eliminated all the drawback of the first model and had a mean absolute percentage error of 2.8%.
引用
收藏
页码:79 / 82
页数:4
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