Invention Grant
US07697428B2 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
- Patent Title: Analyzing network traffic using an improved markov modulated poisson process model with two barrier states
- Patent Title (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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Application No.: US11514493Application Date: 2006-09-01
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Publication No.: US07697428B2Publication Date: 2010-04-13
- Inventor: Ganesh Balakrishnan , Jorge R. Rodriguez
- Applicant: Ganesh Balakrishnan , Jorge R. Rodriguez
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Biggers & Ohanian, LLP.
- Agent John R. Biggers; Cynthia G. Seal
- Main IPC: G01R31/08
- IPC: G01R31/08

Abstract:
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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