Presentation 2002/3/7
Analysis of network traffic focusing on per-time-block flow statistics
Tatsuya MORI, Ryoichi KAWAHARA, Shozo NAITO,
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Abstract(in English) Recently, a number of studies have elucidated that marginal distributions of network traffic exhibit non-Gaussian nature, and this property is crucial for modeling realistic network traffic. In this work, to study causal mechanisms that cause non-Gaussian nature of marginal distributions, we defined 'per-time-block flow', and investigated flow size, hop counts and application breakdown for each per-time-block flow and their relationships.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) network traffic / marginal distribution / non-Gaussian / per-time-block flow / power law / greedy flow / hop count / application
Paper # NS2001-224
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Committee NS
Conference Date 2002/3/7(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Analysis of network traffic focusing on per-time-block flow statistics
Sub Title (in English)
Keyword(1) network traffic
Keyword(2) marginal distribution
Keyword(3) non-Gaussian
Keyword(4) per-time-block flow
Keyword(5) power law
Keyword(6) greedy flow
Keyword(7) hop count
Keyword(8) application
1st Author's Name Tatsuya MORI
1st Author's Affiliation NTT Information Sharing Platform Laboratories, NTT Corporation()
2nd Author's Name Ryoichi KAWAHARA
2nd Author's Affiliation NTT Service Integration Laboratories, NTT Corporation
3rd Author's Name Shozo NAITO
3rd Author's Affiliation NTT Information Sharing Platform Laboratories, NTT Corporation
Date 2002/3/7
Paper # NS2001-224
Volume (vol) vol.101
Number (no) 714
Page pp.pp.-
#Pages 8
Date of Issue