| Detrended Fluctuation Analysis of Traffic Data |
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| 作者姓名： | 朱晓妍 刘宗华 唐明 |
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| 作者单位： | Institute of Theoretical Physics and Department of Physics, East China Normal University, Shanghai 200062 |
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| 基金项目： | Supported by the National Natural Science Foundation of China under Grant Nos 10475027 and 10635040, the Pujiang Project of Shanghai under Grant No 05PJ14036, the Shuguang Project of Shanghai under Grant No 05SG27, and the New Century Excellent Talent Project of the Ministry of Education of China under Grant No 05-0424. |
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| 摘 要： | Different routing strategies may result in different behaviour of traffic on internet. We analyse the correlation of traffic data for three typical routing strategies by the detrended fluctuation analysis （DFA） and lind that the aregree of correlation of the data can be divided into three regions, i.e. weak, medium, and strong correlation. The DFA scalings are constants in both the regions of weak and strong correlations but monotonically increase in the region of medium correlation. We suggest that it is better to consider the traffic on complex network as three phases, i.e. the free, buffer, and congestion phase, than just as two phases believed before, i.e. the free and congestion phase.
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| 关 键 词： | 交通网络 路线 起伏分析 介质 |
| 收稿时间： | 2007-3-27 |
| 修稿时间： | 2007-03-27 |
Detrended Fluctuation Analysis of Traffic Data |
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| ZHU Xiao-Yan,LIU Zong-Hua,TANG Ming.Detrended Fluctuation Analysis of Traffic Data[J].Chinese Physics Letters,2007,24(7):2142-2145. |
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| Authors: | ZHU Xiao-Yan LIU Zong-Hua TANG Ming |
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| Affiliation: | Institute of Theoretical Physics and Department of Physics, East China Normal University, Shanghai 200062 |
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| Abstract: | Different routing strategies may result in different behaviour of traffic on internet. We analyse the correlation of traffic data for three typical routing strategies by the detrended fluctuation analysis (DFA) and find that the degree of correlation of the data can be divided into three regions, i.e. weak, medium, and strong correlation. The DFA scalings are constants in both the regions of weak and strong correlations but monotonically increase in the region of medium correlation. We suggest that it is better to consider the traffic on complex network as three phases, i.e. the free, buffer, and congestion phase, than just as two phases believed before, i.e. the free andcongestion phase. |
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| Keywords: | 89 75 Hc 89 40 -a 89 20 Hh |
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