Presentation 2002/6/14
Inferring statistics of each flow from aggregated-flow measurement
Masato TSURU, Tetsuya TAKINE, Yuji OIE,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) For a statistical perspective of global traffic flows on a large network, we have proposed a way to infer unobservable statistics of each flow from measurements of aggregated-flows (sums of flows), which are easily measured at some links (router interfaces) in the network. In this paper, to relax some limitations in the previous work, we discuss some improvement: i) determining minimum rates of flows, ii) indirectly inferring statistics of some flows from those of other flows, iii) rounding (quantization) by an adequate bin size, and show simulation results, which indicate effectiveness of our improvement.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Traffic flow / Statistical Inference / Network tomography
Paper # IN2002-28
Date of Issue

Conference Information
Committee IN
Conference Date 2002/6/14(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Vice Chair

Paper Information
Registration To Information Networks (IN)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Inferring statistics of each flow from aggregated-flow measurement
Sub Title (in English)
Keyword(1) Traffic flow
Keyword(2) Statistical Inference
Keyword(3) Network tomography
1st Author's Name Masato TSURU
1st Author's Affiliation JGN project, Telecommunications Advancement Organization of Japan (TAO):Japan Telecom Information Service Co., Ltd.()
2nd Author's Name Tetsuya TAKINE
2nd Author's Affiliation Dept. of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University
3rd Author's Name Yuji OIE
3rd Author's Affiliation Dept. of Computer Science and Electronics, Kyushu Institute of Technology:JGN project, Telecommunications Advancement Organization of Japan (TAO)
Date 2002/6/14
Paper # IN2002-28
Volume (vol) vol.102
Number (no) 132
Page pp.pp.-
#Pages 5
Date of Issue