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Method, computer program for generating and analyzing network traffic using a Markov modulated Poisson process models Improved

机译:使用马尔可夫调制泊松过程模型生成和分析网络流量的方法,计算机程序

摘要

Methods and products are disclosed for analyzing network traffic using an improved Markov Modulated Poisson Process Model with one bursty state and a plurality of idle states that include: establishing a time scale of operation for each state in the improved MMPP model; establishing a transition value for each state in dependence upon the time scale of operation for the state; measuring inter-arrival times between individual packets received in one or more network adapters; and determining a current state for the network traffic independence upon the measured inter-arrival time of a most recently received packet and the transition values.
机译:公开了使用具有一个突发状态和多个空闲状态的改进的马尔可夫调制泊松过程模型来分析网络流量的方法和产品,该方法和产品包括:为改进的MMPP模型中的每个状态建立操作的时间尺度;根据状态操作的时标为每个状态建立一个过渡值;测量在一个或多个网络适配器中接收到的各个数据包之间的到达间隔时间;根据最近接收到的数据包的到达间隔时间和转换值,确定网络流量独立性的当前状态。

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