发明申请
US20080056131A1 Analyzing and Generating Network Traffic Using an Improved Markov Modulated Poisson Process Model with One Bursty State and a Plurality of Idle States
有权
使用具有一个突发状态和多个空闲状态的改进马尔可夫调制泊松过程模型分析和生成网络流量
- 专利标题： Analyzing and Generating Network Traffic Using an Improved Markov Modulated Poisson Process Model with One Bursty State and a Plurality of Idle States
- 专利标题（中）： 使用具有一个突发状态和多个空闲状态的改进马尔可夫调制泊松过程模型分析和生成网络流量
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申请号： US11468842申请日： 2006-08-31
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公开(公告)号： US20080056131A1公开(公告)日： 2008-03-06
- 发明人: Ganesh Balakrishnan , Jorge R. Rodriguez
- 申请人： Ganesh Balakrishnan , Jorge R. Rodriguez
- 主分类号： H04L12/26
- IPC分类号： H04L12/26
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.