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校园网流量的分形特性 被引量:1

Study of fractal characterization of campus network traffic
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摘要 文章采用基于小波系数的能量均值方法讨论了大时间尺度下流量的自相似特性,利用小波变换模极大值的多重分形分析方法,讨论了小时间尺度下的结构函数和多重分形谱的特点;依据校园网的实际流量研究了不同时间尺度下单一TCP流和混合流的的分形特点,并简要分析了不同协议对流量特性的影响。 The traffic self-similarity on a large time scale is discussed by using the method of average energy based on the wavelet coefficient, and multifractal analysis based on the wavelet transform modulus maxima(WTMM) is made. The characteristics of the structure function and multifractal spectrum on a small time scale are descnbed. According to the real campus traffic, fractal characterization of pure TCP traffic and mixed traffic are studied, and the effect of different protocols on network traffic is briefly analyzed.
出处 《合肥工业大学学报(自然科学版)》 CAS CSCD 北大核心 2008年第9期1465-1467,共3页 Journal of Hefei University of Technology:Natural Science
基金 安徽省教育厅自然科学基金资助项目(2005kj049)
关键词 自相似 多重分形 小波变换 尺度 多重分形谱 self-similarity multifractal wavelet transform scale multi-fractal spectrum
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参考文献8

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二级参考文献14

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