发明申请
US20080123549A1 Analyzing network traffic using an improved Markov Modulated Poisson Process Model with two barrier states
有权
使用具有两个障碍状态的改进马尔可夫调制泊松过程模型分析网络流量
- 专利标题: Analyzing network traffic using an improved Markov Modulated Poisson Process Model with two barrier states
- 专利标题(中): 使用具有两个障碍状态的改进马尔可夫调制泊松过程模型分析网络流量
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申请号: US11514493申请日: 2006-09-01
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公开(公告)号: US20080123549A1公开(公告)日: 2008-05-29
- 发明人: Ganesh Balakrishnan , Jorge R. Rodriguez
- 申请人: Ganesh Balakrishnan , Jorge R. Rodriguez
- 主分类号: G06F11/00
- IPC分类号: G06F11/00
摘要:
Methods, apparatus, and products are disclosed for analyzing network traffic using an improved Markov Modulated Poisson Process Model with two barrier states that include: retrieving a previous state for the network traffic; measuring inter-arrival times between individual packets received in one or more network adapters; establishing a transition window in dependence upon the measured inter-arrival times, the transition window having a transition value λBmax that represents an upper boundary for the inter-arrival times in a bursty state and having a transition value λImin that represents a lower boundary for the inter-arrival times in an idle state; retrieving a previous fence value that prevents premature transitions into the idle state or the bursty state; and determining a current state for the network traffic in dependence upon the previous state for the network traffic, an inter-arrival time of a most recently received packet, the transition values, and the previous fence value.
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