Title:
改良されたマルコフ変調ポアソン過程モデルを使用してネットワーク・トラフィックを解析及び生成するための方法、コンピュータ・プログラム
Document Type and Number:
Japanese Patent JP4675426
Kind Code:
B2
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.
Inventors:
Balakrish-Nan, Ganesh
Rodriguez, Jorge
Rodriguez, Jorge
Application Number:
JP2009526034A
Publication Date:
April 20, 2011
Filing Date:
August 14, 2007
Export Citation:
Assignee:
INTERNATIONAL BUSINESS MASCHINES CORPORATION
International Classes:
H04L12/56; H04W16/22; H04W24/06
Foreign References:
| US20040208131 | ||||
| US20040208127 | ||||
| US5343465 |
Other References:
Ferit Yegenoglu et al,Characterization and modeling of aggregate traffic for finite buffer statistical multiplexers,Computer Networks and ISDN Systems,1994年,26,pp.1169-1185
Attorney, Agent or Firm:
Takeshi Ueno
Tasaichi Tanae
Yoshihiro City
Tasaichi Tanae
Yoshihiro City