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METHOD FOR PREDICTING TRAFFIC CHARACTERISTICS AND TRAFFIC ESTIMATION DEVICES FOR THE WIRED AND WIRELESS NETWORKS

机译:有线和无线网络的流量特征和流量估计设备的预测方法

摘要

A method and an apparatus for predicting wired/wireless network traffics through probabilistic traffic characteristic estimation are provided to model characteristics of dynamically-changed traffics, and extract probabilistic characteristics of the traffic from limited sampling data, thereby probabilistically predicting effects of traffics, applied to a specific flow or a specific link, on service quality of the other flow or link for providing services within a network. A frame of a flow flowed into a variation band traffic within a preset time in wired/wireless networks is sampled(S601,S602). A probability distribution function for a continuous function corresponding to a histogram of continuous frame duration extracted through the sampling, continuous frame duration configured from frame pause period data and continuous frame appearance period is calculated(S609). Through the flow frame sampling increase, the probability distribution function of the continuous frame duration and the continuous frame appearance period is modified. Based on the modified probability distribution function, the traffic is predicted.
机译:提供了一种用于通过概率流量特性估计来预测有线/无线网络流量的方法和装置,以对动态变化的流量的特性进行建模,并从有限的采样数据中提取流量的概率特性,从而概率性地预测流量的影响,并应用于特定流程或特定链接,有关在网络内提供服务的其他流程或链接的服务质量。在预设时间内在有线/无线网络中流入变化带业务的流的帧被采样(S601,S602)。计算与通过采样提取的连续帧持续时间的直方图相对应的连续函数的概率分布函数,从帧暂停时段数据配置的连续帧持续时间和连续帧出现时段(S609)。通过增加流帧采样,可以修改连续帧持续时间和连续帧出现周期的概率分布函数。基于修改后的概率分布函数,可以预测流量。

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