Invention Grant
US07869354B2 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的马尔科夫调制泊松过程模型来分析和生成网络流量
- Patent Title: Analyzing and generating network traffic using an improved Markov Modulated Poisson Process model with one bursty state and a plurality of idle states
- Patent Title (中): 使用具有一个突发状态和多个空闲状态的改进的马尔科夫调制泊松过程模型来分析和生成网络流量
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Application No.: US11468842Application Date: 2006-08-31
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Publication No.: US07869354B2Publication Date: 2011-01-11
- 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 Brandon C. Kennedy; Cynthia G. Seal
- Main IPC: H04J1/16
- IPC: H04J1/16

Abstract:
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.
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