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| 最大Lyapunov指数改进算法的网络流量预测 | |
| 引用本文： | 党小超,胡广涛,郝占军.最大Lyapunov指数改进算法的网络流量预测[J].苏州科技学院学报(自然科学版),2011,28(1):44-48. |
| 作者姓名： | 党小超 胡广涛 郝占军 |
| 作者单位： | 1. 西北师范大学,网络教育学院,甘肃,兰州,730070 2. 西北师范大学,数学与信息科学学院,甘肃,兰州,730070 3. 西北师范大学,数学与信息科学学院,甘肃,兰州,730070;西京学院工程技术系,陕西,西安,710123 |
| 基金项目： | 甘肃省科技支撑计划资助项目(090GKCA075) |
| 摘 要： | 为了提高网路流量的预测精度,针对网络的非线性及复杂性,应用最大Lyapunov指数改进算法,利用历史数据信息,在重构相空间的基础上对网络流量进行短期预测,应用混沌理论对某高校主干流量时间序列进行分析。结合C-C算法将实际测试的流量时间序列投影到重构的相空间中,计算其最大Lyapunov指数并对最大可预测时间进行了分析。实验结果表明,最大Lyapunov指数改进算法具有良好的预测效果,较高的预测精度和更好的自适应性,该算法应用于网络流量预测是可行、有效的。 |
| 关 键 词： | 最大Lyapunov指数 网络流量 向空间重构 预测 |
Prediction for network traffic based on improved maximum Lyapunov exponent algorithm |
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| DANG Xiaochao,HU Guangtao,HAO Zhanjun.Prediction for network traffic based on improved maximum Lyapunov exponent algorithm[J].Journal of University of Science and Technology of Suzhou,2011,28(1):44-48. | |
| Authors: | DANG Xiaochao HU Guangtao HAO Zhanjun |
| Institution: | DANG Xiaochao1,HU Guangtao2,HAO Zhanjun2,3(1.College of Network Education,Northwest Normal University,Lanzhou 730070,China,2.College of Mathematics & Information Science,3.Department of Engineering Technology,Xijing University,Xi'an 710123,China) |
| Abstract: | Owing to the non-linearity and complexity of network system,the predicted method is depicted based on the improved maximum Lyapunov exponent to increase the forecasting precision of network traffic.By making full use of historical data and information,short-term output traffic of the backbone network of a certain university was conducted after restructuring of phase space based on chaos theory.The C-C method was used to project real time series of the traffic onto the reconstructed phase space.The longest t... |
| Keywords: | maximum Lyapunov exponent network traffic phase space reconstruction prediction |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |