Presentation 2001/6/14
Inferring traffic flow characteristics from aggregated-flow measurement
Masato TSURU, Tetsuya TAKINE, Yuji OIE,
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Abstract(in English) In the Internet, statistical perspective of global traffic flows has been considered as an important key to network management. Nonetheless, it is expensive or sometime difficult to measure statistics of each flow separately. Therefore it is of practical importance to infer unobservable statistical characteristics of flows from characteristics of the aggregated-flows which are easily measured at some links (router interfaces) in the network. In this paper, we propose a new approach to such inference problems, and provide some examples of inferring unobservable arrival rates of packets on each flow from measurement of the aggregated-flows. Our method is applicable to the cases not covered by the existing methods for the OD traffic matrix inference. We also show simulation results, which indicate potential of our approach.
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Keyword(in English) Measurement and Monitoring / OD traffic matrix / Statistical Inference
Paper # IN2001-21
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Committee IN
Conference Date 2001/6/14(1days)
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Title (in Japanese) (See Japanese page)
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Title (in English) Inferring traffic flow characteristics from aggregated-flow measurement
Sub Title (in English)
Keyword(1) Measurement and Monitoring
Keyword(2) OD traffic matrix
Keyword(3) Statistical Inference
1st Author's Name Masato TSURU
1st Author's Affiliation Kitakyushu Research Center, Telecommunications Advancement Organization of Japan()
2nd Author's Name Tetsuya TAKINE
2nd Author's Affiliation Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University
3rd Author's Name Yuji OIE
3rd Author's Affiliation Department of Computer Science and Electronics, Kyushu Institute of Technology
Date 2001/6/14
Paper # IN2001-21
Volume (vol) vol.101
Number (no) 122
Page pp.pp.-
#Pages 8
Date of Issue