| 自相似网络流量差分分析新方法 |
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| 引用本文： | 李立,喻莉,朱光喜,白云.自相似网络流量差分分析新方法[J].计算机科学,2008,35(4):112-114. |
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| 作者姓名： | 李立 喻莉 朱光喜 白云 |
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| 作者单位： | 华中科技大学电子与信息工程系/武汉光电国家实验室,武汉,430074 |
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| 摘 要： | 多媒体网络流量具有重尾特性及自相似特性,已得到了广泛的认同.而Alpha-stable过程作为Gaussian过程的推广能很好地描述重尾特性及自相似特性.在简要介绍了Alpha-stable分布和Alpha-stable过程的基础上,本文研究分析了当前基于线形分形稳定噪声(LFSN)理论的网络业务流量模型,并提出了基于差分分析的新方法及基于差分分析的LFSN流量模型参数估计新方法.对Bellcore实验室采集数据的拟合验证结果表明,该估计方法能准确确定模型参数.
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| 关 键 词： | 网络流量建模 Alpha-stable分布 线形分形稳定噪声 差分分析 参数估计 |
New Analysis Method for Self-similar Network Traffic Based on the Differential Analysis |
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| LI Li,YU Li,ZHU Guang-Xi,BAI Yun.New Analysis Method for Self-similar Network Traffic Based on the Differential Analysis[J].Computer Science,2008,35(4):112-114. |
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| Authors: | LI Li YU Li ZHU Guang-Xi BAI Yun |
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| Affiliation: | LI Li YU Li ZHU Guang-Xi BAI Yun(Department of Electronics & Information Engineering,Huazhong University of Science , Technology,Wuhan 430074) |
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| Abstract: | The fact that multi-media network traffic is with heavy-tail character and self-similar character has been known to researchers. At the same time, Alpha-stable process, the extension of Gaussian process, has the advantage of modeling heavy-tail character and self-similar character. Alpha-stable distribution and Alpha-stable process are introduced at the beginning of this paper. Then after analyzing of current network traffic models based on Alpha-stable process and Linear Fractional Stable Noise (LFSN), we ... |
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| Keywords: | Network traffic model Alpha-stable distribution Linear fractional stable noise Difference analysis Parameter estimation method |
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