【摘要】 网络业务具有自相似性。为了有效地对自相似数据业务流进行控制、管理与疏导,必须快速获得业务流的Hurst参数。该文通过分析自相似业务流的特性,在研究小波分解、经验模态分解和R/S估值过程的基础上,提出一种快速(数据量每减少50%,估值时间减少85.7%)、高精度的Hurst指数估值方法,可直接用于网络业务的实时监测、调度和路由仲裁。更多还原

【Abstract】 The data traffic in the Internet is self-similar.In order to realize the control,management and grooming of the data traffic efficiently,the traffic self-similarity should be gained as fast as possible.Base on the analysis of the self-similar data traffic and the characteristics of the methods including wavelet,EMD and R/S,a fast computation process with high precision is put forward for all kinds of online monitoring,flow control and routing arbitration.更多还原