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2025年5月10日 18:40 星期六
首页 > 过刊浏览>2012年第23卷第2期 >230-239. DOI:10.3724/SP.J.1001.2012.04145
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嵌入式软件体系结构级能耗建模方法
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国家自然科学基金(61073045); 四川杰出青年科技基金(2010JQ0011)


Embedded Software Energy Modeling Method at Architecture Level
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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.

    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.

    参考文献
    [1] Guo B, Shen Y, Shao ZL. The redefinition and some discussion of green computing. Chinese Journal of Computers, 2009,32(12): 2311-2319 (in Chinese with English abstract).
    [2] Tan TK, Raghunathan AK, Lakishminarayana G, Jha NK. High-Level software energy macro-modeling. In: Proc. of the 38th ACM Conf. on Design Automation. 2001. 605-610. [doi: 10.1109/DAC.2001.156211]
    [3] Tan TK, Raghunathan AK, Jha NK. Software architectural transformations: A new approach to low energy embedded software. In: Proc. of the Design Automation Test in Europe. 2003. 1046-1051. [doi: 10.1109/DATE.2003.1253742]
    [4] Lee I, Philippou A, Sokolsky O. Process algebraic modelling and analysis of power-aware real-time systems. Journal of Computing and Control Engineering, 2002,13(4):180-188.
    [5] Senn E, Laurent J, Juin E, Diguet JP. Refining power consumption estimations in the component based AADL design flow. In: Proc. of the IEEE Conf. on Specification, Verification and Design Language. 2008. 173-178. [doi: 10.1109/FDL.2008.4641441]
    [6] Zhang TT, Wu X, Li CD, Dong YW. On energy-consumption analysis and evaluation for component-based embedded system with CSP. Chinese Journal of Computers, 2009,32(9):1-8 (in Chinese with English abstract).
    [7] Chen LQ, Shao ZQ, Fan GS. Energy consumption modeling and analysis for distributed real-time and embedded systems. Journal of East China University of Science and Technology (Natural Science Edition), 2009,35(2):250-255 (in Chinese with English abstract).
    [8] Zhao X, Guo Y, Lei ZY, Chen XQ. Estimation and analysis of embedded operating system energy consumption. Acta Electronica Sinica, 2008,36(2):209-215 (in Chinese with English abstract).
    [9] Seo CY, Malek S, Medvidovic N. Estimating the energy consumption in pervasive Java-based systems. In: Proc. of the 7th Working IEEE/IFIP Conf. on Software Architecture (WICSA 2008). New York: IEEE Press, 2008. 277-280. [doi: 10.1109/PERCOM.2008.85]
    [10] Wang XM. A model of measuring software structure complexity and its auto-realizaton. Computer Application, 2009,19(6):16-19 (in Chinese with English abstract)
    [11] Sarajedini A, Hecht-Nielsen R. The best of both worlds: Casasent networks integrate multilayer perceptrons and radial basis functions. In: Proc. of the IEEE Int’l Joint Conf. on Neural Networks. 1992. 905-910. [doi: 10.1109/IJCNN.1992.227084]
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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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历史
  • 收稿日期:2011-07-15
  • 最后修改日期:2011-09-06
  • 在线发布日期: 2012-02-07
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