| 引用本文: | 刘啸滨,郭兵,沈艳,熊冰,王继禾,伍元胜,刘云本.嵌入式软件体系结构级能耗建模方法.软件学报,2012,23(2):230-239 |
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| 摘要: |
| 从软件体系结构层面出发,假设体系结构级软件特征量与嵌入式软件能耗之间存在非线性函数关系(线性函数关系可被认为是一种特殊的非线性函数关系),并以此假设为基础,提出了一种利用BP神经网络在体系结构级估算软件能耗的模型.能耗模型对5个体系结构级软件特征量进行度量,使用BP神经网络拟合出软件特征量与嵌入式软件能耗的非线性函数关系,并通过实验验证了模型的有效性和假设的合理性. |
| 关键词: 嵌入式软件能耗 体系结构 能耗建模 软件特征量 特征量度量 BP神经网络 |
| DOI：10.3724/SP.J.1001.2012.04145 |
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| 基金项目:国家自然科学基金(61073045); 四川杰出青年科技基金(2010JQ0011) |
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| Embedded Software Energy Modeling Method at Architecture Level |
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LIU Xiao-Bin1, GUO Bing1, SHEN Yan2, XIONG Bing1, WANG Ji-He1, WU Yuan-Sheng1, LIU Yun-Ben2
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1.College of Computer Science, Sichuan University, Chengdu 610065, China;2.College of Control Engineering, Chengdu University of Information Technology, Chengdu 610225, China
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| Abstract: |
| This paper starts at a software architecture level, considers the functional relation between software characteristic quantities and embedded software energy as nonlinear (linear functional relation can be considered as a special nonlinear functional relation). Next, the paper presents an energy model at architecture level by using BP neural network. The energy model measures 5 software characteristic quantities at architecture level and uses BP neural network to fit the functional relation between software characteristic quantities and embedded software energy. Experimental results show that this model is effective. |
| Key words: embedded software energy architecture energy modeling software characteristic quantity characteristic quantity measurement BP neural network |
